Set up environment
conda create -n musicgen python=3.10
conda activate musicgen
conda install numpy matplotlib tqdm scikit-learn librosa ipython -c conda-forge
pip install pretty_midi tensorflow notebook pypianoroll torch midi2audio seaborn
Install dependencies¶
In [1]:
# Unconditional Symbolic Dependencies
import os
import numpy as np
import pretty_midi
import matplotlib.pyplot as plt
from tqdm import tqdm
import tensorflow as tf
from tensorflow.keras import layers, models, losses
from tensorflow.keras.models import load_model
from sklearn.model_selection import train_test_split
import librosa
import librosa.display
import IPython.display as ipd
from pypianoroll import Track, Multitrack
import subprocess
# Conditional Symbolic Dependencies
import torch
import torch.nn as nn
import torch.optim as optim
from torch.utils.data import DataLoader, TensorDataset
from torch.optim.lr_scheduler import ReduceLROnPlateau
import numpy as np
import matplotlib.pyplot as plt
import pretty_midi
import IPython.display as ipd
from tqdm import tqdm
import tempfile
import os
from midi2audio import FluidSynth
import soundfile as sf
import seaborn as sns
import math
Grab Additional Dataset¶
Install dependency for YouTube package for additional dataset
In [2]:
# Add another dataset
!pip install yt-dlp
Requirement already satisfied: yt-dlp in /Users/study/miniconda3/envs/musicgen/lib/python3.10/site-packages (2025.5.22)
Grab the videos and create midi files from them
In [3]:
# YouTube playlist URL
playlist_url = 'https://youtube.com/playlist?list=PLrXCURCvaqrw0SSmUSkXAwK5Ywsc857t9&si=t2u7k51YpxxToVEV'
# Create output folder
os.makedirs('./Temp', exist_ok=True)
# Step 1: Download up to 100 audio files with their titles in the filename
download_command = [
'yt-dlp',
'--playlist-end', '100', # Stop after 100 items
'-x', '--audio-format', 'wav',
'-o', './Temp/%(title)s.%(ext)s', # Save as {title}.wav
playlist_url
]
print('Downloading up to 100 WAV files...')
subprocess.run(download_command, check=True)
# Step 2: Process each downloaded WAV file to MIDI
wav_files = sorted([f for f in os.listdir('./Temp') if f.endswith('.wav')])
for wav_file in wav_files:
wav_path = os.path.join('./Temp', wav_file)
print(f'Processing {wav_path}...')
try:
# Load audio
y, sr = librosa.load(wav_path, sr=44100)
# Extract pitches (monophonic)
pitches, magnitudes = librosa.piptrack(y=y, sr=sr)
# Convert to MIDI
midi_data = pretty_midi.PrettyMIDI()
track = pretty_midi.Instrument(program=0) # Piano
for t in range(pitches.shape[1]):
freq = pitches[:, t][magnitudes[:, t].argmax()]
if freq > 0:
note_num = librosa.hz_to_midi(freq)
note = pretty_midi.Note(
velocity=100,
pitch=int(note_num),
start=t * 0.1,
end=(t + 1) * 0.1
)
track.notes.append(note)
midi_data.instruments.append(track)
# Save as {title}.mid (same base name as wav)
midi_filename = wav_file.replace('.wav', '.mid')
midi_path = os.path.join('./Temp', midi_filename)
midi_data.write(midi_path)
print(f'Saved MIDI to {midi_path}')
except Exception as e:
print(f'Error processing {wav_file}: {e}')
Downloading up to 100 WAV files... [youtube:tab] Extracting URL: https://youtube.com/playlist?list=PLrXCURCvaqrw0SSmUSkXAwK5Ywsc857t9&si=t2u7k51YpxxToVEV [youtube:tab] PLrXCURCvaqrw0SSmUSkXAwK5Ywsc857t9: Downloading webpage [youtube:tab] PLrXCURCvaqrw0SSmUSkXAwK5Ywsc857t9: Redownloading playlist API JSON with unavailable videos [download] Downloading playlist: KPOP Piano Covers (Kpop Piano Collections, Korean Pop Songs Piano Covers) by Pianella Piano [youtube:tab] Playlist KPOP Piano Covers (Kpop Piano Collections, Korean Pop Songs Piano Covers) by Pianella Piano: Downloading 100 items of 646 [download] Downloading item 1 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=ufw4SIVFgyY [youtube] ufw4SIVFgyY: Downloading webpage [youtube] ufw4SIVFgyY: Downloading tv client config [youtube] ufw4SIVFgyY: Downloading tv player API JSON [youtube] ufw4SIVFgyY: Downloading ios player API JSON [youtube] ufw4SIVFgyY: Downloading m3u8 information [info] ufw4SIVFgyY: Downloading 1 format(s): 251 [download] Destination: ./Temp/ROSÉ - gameboy ｜ Piano Cover by Pianella Piano.webm [download] 100% of 3.03MiB in 00:00:00 at 6.42MiB/s [ExtractAudio] Destination: ./Temp/ROSÉ - gameboy ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/ROSÉ - gameboy ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 2 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=HXrY93tPu4c [youtube] HXrY93tPu4c: Downloading webpage [youtube] HXrY93tPu4c: Downloading tv client config [youtube] HXrY93tPu4c: Downloading tv player API JSON [youtube] HXrY93tPu4c: Downloading ios player API JSON [youtube] HXrY93tPu4c: Downloading m3u8 information [info] HXrY93tPu4c: Downloading 1 format(s): 251 [download] Destination: ./Temp/IU - Never Ending Story ｜ Piano Cover by Pianella Piano.webm [download] 100% of 4.03MiB in 00:00:00 at 8.11MiB/s [ExtractAudio] Destination: ./Temp/IU - Never Ending Story ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/IU - Never Ending Story ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 3 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=xtqKprXY0xg [youtube] xtqKprXY0xg: Downloading webpage [youtube] xtqKprXY0xg: Downloading tv client config [youtube] xtqKprXY0xg: Downloading tv player API JSON [youtube] xtqKprXY0xg: Downloading ios player API JSON [youtube] xtqKprXY0xg: Downloading m3u8 information [info] xtqKprXY0xg: Downloading 1 format(s): 251 [download] Destination: ./Temp/SEVENTEEN - THUNDER ｜ Piano Cover by Pianella Piano.webm [download] 100% of 2.98MiB in 00:00:00 at 6.28MiB/s [ExtractAudio] Destination: ./Temp/SEVENTEEN - THUNDER ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/SEVENTEEN - THUNDER ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 4 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=zbCkE2A_N8o [youtube] zbCkE2A_N8o: Downloading webpage [youtube] zbCkE2A_N8o: Downloading tv client config [youtube] zbCkE2A_N8o: Downloading tv player API JSON [youtube] zbCkE2A_N8o: Downloading ios player API JSON [youtube] zbCkE2A_N8o: Downloading m3u8 information [info] zbCkE2A_N8o: Downloading 1 format(s): 251 [download] Destination: ./Temp/LISA - Chill ｜ Piano Cover by Pianella Piano.webm [download] 100% of 2.87MiB in 00:00:00 at 6.58MiB/s [ExtractAudio] Destination: ./Temp/LISA - Chill ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/LISA - Chill ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 5 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=g6Y0FWRDzzM [youtube] g6Y0FWRDzzM: Downloading webpage [youtube] g6Y0FWRDzzM: Downloading tv client config [youtube] g6Y0FWRDzzM: Downloading tv player API JSON [youtube] g6Y0FWRDzzM: Downloading ios player API JSON [youtube] g6Y0FWRDzzM: Downloading m3u8 information [info] g6Y0FWRDzzM: Downloading 1 format(s): 251 [download] Destination: ./Temp/[Full Album] JISOO - AMORTAGE (1 Hour Playlist) ｜ earthquake, Your Love, TEARS, Hugs & Kisses.webm [download] 100% of 68.31MiB in 00:00:07 at 9.72MiB/s [ExtractAudio] Destination: ./Temp/[Full Album] JISOO - AMORTAGE (1 Hour Playlist) ｜ earthquake, Your Love, TEARS, Hugs & Kisses.wav Deleting original file ./Temp/[Full Album] JISOO - AMORTAGE (1 Hour Playlist) ｜ earthquake, Your Love, TEARS, Hugs & Kisses.webm (pass -k to keep) [download] Downloading item 6 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=fqUBXORzpSo [youtube] fqUBXORzpSo: Downloading webpage [youtube] fqUBXORzpSo: Downloading tv client config [youtube] fqUBXORzpSo: Downloading tv player API JSON [youtube] fqUBXORzpSo: Downloading ios player API JSON [youtube] fqUBXORzpSo: Downloading m3u8 information [info] fqUBXORzpSo: Downloading 1 format(s): 251 [download] Destination: ./Temp/Hearts2Hearts - The Chase ｜ Piano Cover by Pianella Piano.webm [download] 100% of 3.37MiB in 00:00:00 at 6.61MiB/s [ExtractAudio] Destination: ./Temp/Hearts2Hearts - The Chase ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/Hearts2Hearts - The Chase ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 7 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=F2k70g63j3g [youtube] F2k70g63j3g: Downloading webpage [youtube] F2k70g63j3g: Downloading tv client config [youtube] F2k70g63j3g: Downloading tv player API JSON [youtube] F2k70g63j3g: Downloading ios player API JSON [youtube] F2k70g63j3g: Downloading m3u8 information [info] F2k70g63j3g: Downloading 1 format(s): 251 [download] Destination: ./Temp/ILLIT - Almond Chocolate ｜ Piano Cover by Pianella Piano.webm [download] 100% of 3.69MiB in 00:00:00 at 4.16MiB/s [ExtractAudio] Destination: ./Temp/ILLIT - Almond Chocolate ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/ILLIT - Almond Chocolate ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 8 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=Gz-0PIUE6LE [youtube] Gz-0PIUE6LE: Downloading webpage [youtube] Gz-0PIUE6LE: Downloading tv client config [youtube] Gz-0PIUE6LE: Downloading tv player API JSON [youtube] Gz-0PIUE6LE: Downloading ios player API JSON [youtube] Gz-0PIUE6LE: Downloading m3u8 information [info] Gz-0PIUE6LE: Downloading 1 format(s): 251 [download] Destination: ./Temp/JENNIE, Doechii - ExtraL ｜ Piano Cover by Pianella Piano.webm [download] 100% of 3.10MiB in 00:00:00 at 5.78MiB/s [ExtractAudio] Destination: ./Temp/JENNIE, Doechii - ExtraL ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/JENNIE, Doechii - ExtraL ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 9 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=oGCIb6oKtdE [youtube] oGCIb6oKtdE: Downloading webpage [youtube] oGCIb6oKtdE: Downloading tv client config [youtube] oGCIb6oKtdE: Downloading tv player API JSON [youtube] oGCIb6oKtdE: Downloading ios player API JSON [youtube] oGCIb6oKtdE: Downloading m3u8 information [info] oGCIb6oKtdE: Downloading 1 format(s): 251 [download] Destination: ./Temp/JISOO - TEARS ｜ Piano Cover by Pianella Piano.webm [download] 100% of 3.39MiB in 00:00:00 at 6.83MiB/s [ExtractAudio] Destination: ./Temp/JISOO - TEARS ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/JISOO - TEARS ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 10 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=LactP7TU4eA [youtube] LactP7TU4eA: Downloading webpage [youtube] LactP7TU4eA: Downloading tv client config [youtube] LactP7TU4eA: Downloading tv player API JSON [youtube] LactP7TU4eA: Downloading ios player API JSON [youtube] LactP7TU4eA: Downloading m3u8 information [info] LactP7TU4eA: Downloading 1 format(s): 251 [download] Destination: ./Temp/JISOO - Hugs & Kisses ｜ Piano Cover by Pianella Piano.webm [download] 100% of 3.55MiB in 00:00:00 at 7.45MiB/s [ExtractAudio] Destination: ./Temp/JISOO - Hugs & Kisses ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/JISOO - Hugs & Kisses ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 11 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=WVLx3BfkbLk [youtube] WVLx3BfkbLk: Downloading webpage [youtube] WVLx3BfkbLk: Downloading tv client config [youtube] WVLx3BfkbLk: Downloading tv player API JSON [youtube] WVLx3BfkbLk: Downloading ios player API JSON [youtube] WVLx3BfkbLk: Downloading m3u8 information [info] WVLx3BfkbLk: Downloading 1 format(s): 251 [download] Destination: ./Temp/JISOO - Your Love ｜ Piano Cover by Pianella Piano.webm [download] 100% of 3.21MiB in 00:00:00 at 6.71MiB/s [ExtractAudio] Destination: ./Temp/JISOO - Your Love ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/JISOO - Your Love ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 12 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=TsCLZ5h2ELE [youtube] TsCLZ5h2ELE: Downloading webpage [youtube] TsCLZ5h2ELE: Downloading tv client config [youtube] TsCLZ5h2ELE: Downloading tv player API JSON [youtube] TsCLZ5h2ELE: Downloading ios player API JSON [youtube] TsCLZ5h2ELE: Downloading m3u8 information [info] TsCLZ5h2ELE: Downloading 1 format(s): 251 [download] Destination: ./Temp/JISOO - earthquake ｜ Piano Cover by Pianella Piano.webm [download] 100% of 3.47MiB in 00:00:00 at 6.79MiB/s [ExtractAudio] Destination: ./Temp/JISOO - earthquake ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/JISOO - earthquake ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 13 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=_ReAwMLM1yY [youtube] _ReAwMLM1yY: Downloading webpage [youtube] _ReAwMLM1yY: Downloading tv client config [youtube] _ReAwMLM1yY: Downloading tv player API JSON [youtube] _ReAwMLM1yY: Downloading ios player API JSON [youtube] _ReAwMLM1yY: Downloading m3u8 information [info] _ReAwMLM1yY: Downloading 1 format(s): 251 [download] Destination: ./Temp/LISA - BORN AGAIN feat. Doja Cat & RAYE ｜ Piano Cover by Pianella Piano.webm [download] 100% of 4.23MiB in 00:00:00 at 7.74MiB/s [ExtractAudio] Destination: ./Temp/LISA - BORN AGAIN feat. Doja Cat & RAYE ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/LISA - BORN AGAIN feat. Doja Cat & RAYE ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 14 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=QCsCO5JN2xo [youtube] QCsCO5JN2xo: Downloading webpage [youtube] QCsCO5JN2xo: Downloading tv client config [youtube] QCsCO5JN2xo: Downloading tv player API JSON [youtube] QCsCO5JN2xo: Downloading ios player API JSON [youtube] QCsCO5JN2xo: Downloading m3u8 information [info] QCsCO5JN2xo: Downloading 1 format(s): 251 [download] Destination: ./Temp/IVE - ATTITUDE ｜ Piano Cover by Pianella Piano.webm [download] 100% of 3.65MiB in 00:00:00 at 6.61MiB/s [ExtractAudio] Destination: ./Temp/IVE - ATTITUDE ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/IVE - ATTITUDE ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 15 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=1Dkf6kLzw4Y [youtube] 1Dkf6kLzw4Y: Downloading webpage [youtube] 1Dkf6kLzw4Y: Downloading tv client config [youtube] 1Dkf6kLzw4Y: Downloading tv player API JSON [youtube] 1Dkf6kLzw4Y: Downloading ios player API JSON [youtube] 1Dkf6kLzw4Y: Downloading m3u8 information [info] 1Dkf6kLzw4Y: Downloading 1 format(s): 251 [download] Destination: ./Temp/JENNIE & Dominic Fike - Love Hangover ｜ Piano Cover by Pianella Piano.webm [download] 100% of 3.13MiB in 00:00:00 at 4.32MiB/s [ExtractAudio] Destination: ./Temp/JENNIE & Dominic Fike - Love Hangover ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/JENNIE & Dominic Fike - Love Hangover ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 16 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=7nb6fk3utLs [youtube] 7nb6fk3utLs: Downloading webpage [youtube] 7nb6fk3utLs: Downloading tv client config [youtube] 7nb6fk3utLs: Downloading tv player API JSON [youtube] 7nb6fk3utLs: Downloading ios player API JSON [youtube] 7nb6fk3utLs: Downloading m3u8 information [info] 7nb6fk3utLs: Downloading 1 format(s): 251 [download] Destination: ./Temp/JENNIE - ZEN ｜ Piano Cover by Pianella Piano.webm [download] 100% of 3.53MiB in 00:00:00 at 6.39MiB/s [ExtractAudio] Destination: ./Temp/JENNIE - ZEN ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/JENNIE - ZEN ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 17 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=oiIeL3-zOJg [youtube] oiIeL3-zOJg: Downloading webpage [youtube] oiIeL3-zOJg: Downloading tv client config [youtube] oiIeL3-zOJg: Downloading tv player API JSON [youtube] oiIeL3-zOJg: Downloading ios player API JSON [youtube] oiIeL3-zOJg: Downloading m3u8 information [info] oiIeL3-zOJg: Downloading 1 format(s): 251 [download] Destination: ./Temp/BABYMONSTER - Love, Maybe ｜ Piano Cover by Pianella Piano.webm [download] 100% of 3.58MiB in 00:00:00 at 5.07MiB/s [ExtractAudio] Destination: ./Temp/BABYMONSTER - Love, Maybe ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/BABYMONSTER - Love, Maybe ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 18 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=zJFs9PiskA0 [youtube] zJFs9PiskA0: Downloading webpage [youtube] zJFs9PiskA0: Downloading tv client config [youtube] zJFs9PiskA0: Downloading tv player API JSON [youtube] zJFs9PiskA0: Downloading ios player API JSON [youtube] zJFs9PiskA0: Downloading m3u8 information [info] zJFs9PiskA0: Downloading 1 format(s): 251 [download] Destination: ./Temp/ROSÉ - two years ｜ Piano Cover by Pianella Piano.webm [download] 100% of 3.05MiB in 00:00:00 at 6.48MiB/s [ExtractAudio] Destination: ./Temp/ROSÉ - two years ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/ROSÉ - two years ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 19 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=V50NU0lSG6o [youtube] V50NU0lSG6o: Downloading webpage [youtube] V50NU0lSG6o: Downloading tv client config [youtube] V50NU0lSG6o: Downloading tv player API JSON [youtube] V50NU0lSG6o: Downloading ios player API JSON [youtube] V50NU0lSG6o: Downloading m3u8 information [info] V50NU0lSG6o: Downloading 1 format(s): 251 [download] Destination: ./Temp/BABYMONSTER - Really Like You ｜ Piano Cover by Pianella Piano.webm [download] 100% of 3.62MiB in 00:00:00 at 7.32MiB/s [ExtractAudio] Destination: ./Temp/BABYMONSTER - Really Like You ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/BABYMONSTER - Really Like You ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 20 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=NDbYatyapxA [youtube] NDbYatyapxA: Downloading webpage [youtube] NDbYatyapxA: Downloading tv client config [youtube] NDbYatyapxA: Downloading tv player API JSON [youtube] NDbYatyapxA: Downloading ios player API JSON [youtube] NDbYatyapxA: Downloading m3u8 information [info] NDbYatyapxA: Downloading 1 format(s): 251 [download] Destination: ./Temp/IVE - REBEL HEART ｜ Piano Cover by Pianella Piano.webm [download] 100% of 3.43MiB in 00:00:00 at 6.51MiB/s [ExtractAudio] Destination: ./Temp/IVE - REBEL HEART ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/IVE - REBEL HEART ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 21 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=FYSt8fzoqi4 [youtube] FYSt8fzoqi4: Downloading webpage [youtube] FYSt8fzoqi4: Downloading tv client config [youtube] FYSt8fzoqi4: Downloading tv player API JSON [youtube] FYSt8fzoqi4: Downloading ios player API JSON [youtube] FYSt8fzoqi4: Downloading m3u8 information [info] FYSt8fzoqi4: Downloading 1 format(s): 251 [download] Destination: ./Temp/ROSÉ - 3am ｜ Piano Cover by Pianella Piano.webm [download] 100% of 2.89MiB in 00:00:00 at 6.94MiB/s [ExtractAudio] Destination: ./Temp/ROSÉ - 3am ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/ROSÉ - 3am ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 22 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=7Ny_VToFbyQ [youtube] 7Ny_VToFbyQ: Downloading webpage [youtube] 7Ny_VToFbyQ: Downloading tv client config [youtube] 7Ny_VToFbyQ: Downloading tv player API JSON [youtube] 7Ny_VToFbyQ: Downloading ios player API JSON [youtube] 7Ny_VToFbyQ: Downloading m3u8 information [info] 7Ny_VToFbyQ: Downloading 1 format(s): 251 [download] Destination: ./Temp/BABYMONSTER - BILLIONAIRE ｜ Piano Cover by Pianella Piano.webm [download] 100% of 2.85MiB in 00:00:00 at 6.28MiB/s [ExtractAudio] Destination: ./Temp/BABYMONSTER - BILLIONAIRE ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/BABYMONSTER - BILLIONAIRE ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 23 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=6q40R0qQBjw [youtube] 6q40R0qQBjw: Downloading webpage [youtube] 6q40R0qQBjw: Downloading tv client config [youtube] 6q40R0qQBjw: Downloading tv player API JSON [youtube] 6q40R0qQBjw: Downloading ios player API JSON [youtube] 6q40R0qQBjw: Downloading m3u8 information [info] 6q40R0qQBjw: Downloading 1 format(s): 251 [download] Destination: ./Temp/SQUID GAME 2 - Mingle Game Song “Round and Round” ｜ Piano Cover by Pianella Piano.webm [download] 100% of 1.20MiB in 00:00:00 at 4.22MiB/s [ExtractAudio] Destination: ./Temp/SQUID GAME 2 - Mingle Game Song “Round and Round” ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/SQUID GAME 2 - Mingle Game Song “Round and Round” ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 24 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=WuxpMpljGMY [youtube] WuxpMpljGMY: Downloading webpage [youtube] WuxpMpljGMY: Downloading tv client config [youtube] WuxpMpljGMY: Downloading tv player API JSON [youtube] WuxpMpljGMY: Downloading ios player API JSON [youtube] WuxpMpljGMY: Downloading m3u8 information [info] WuxpMpljGMY: Downloading 1 format(s): 251 [download] Destination: ./Temp/ROSÉ - too bad for us ｜ Piano Cover by Pianella Piano.webm [download] 100% of 4.42MiB in 00:00:00 at 5.65MiB/s [ExtractAudio] Destination: ./Temp/ROSÉ - too bad for us ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/ROSÉ - too bad for us ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 25 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=DuDIMLbF0tQ [youtube] DuDIMLbF0tQ: Downloading webpage [youtube] DuDIMLbF0tQ: Downloading tv client config [youtube] DuDIMLbF0tQ: Downloading tv player API JSON [youtube] DuDIMLbF0tQ: Downloading ios player API JSON [youtube] DuDIMLbF0tQ: Downloading m3u8 information [info] DuDIMLbF0tQ: Downloading 1 format(s): 251 [download] Destination: ./Temp/KPOP PIANO MASHUP 2024 ｜ Piano Cover by Pianella Piano.webm [download] 100% of 4.62MiB in 00:00:00 at 7.56MiB/s [ExtractAudio] Destination: ./Temp/KPOP PIANO MASHUP 2024 ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/KPOP PIANO MASHUP 2024 ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 26 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=j8Sa7fsc_RQ [youtube] j8Sa7fsc_RQ: Downloading webpage [youtube] j8Sa7fsc_RQ: Downloading tv client config [youtube] j8Sa7fsc_RQ: Downloading tv player API JSON [youtube] j8Sa7fsc_RQ: Downloading ios player API JSON [youtube] j8Sa7fsc_RQ: Downloading m3u8 information [info] j8Sa7fsc_RQ: Downloading 1 format(s): 251 [download] Destination: ./Temp/BABYMONSTER - Love In My Heart ｜ Piano Cover by Pianella Piano.webm [download] 100% of 3.55MiB in 00:00:00 at 7.28MiB/s [ExtractAudio] Destination: ./Temp/BABYMONSTER - Love In My Heart ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/BABYMONSTER - Love In My Heart ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 27 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=PiEmrULevIs [youtube] PiEmrULevIs: Downloading webpage [youtube] PiEmrULevIs: Downloading tv client config [youtube] PiEmrULevIs: Downloading tv player API JSON [youtube] PiEmrULevIs: Downloading ios player API JSON [youtube] PiEmrULevIs: Downloading m3u8 information [info] PiEmrULevIs: Downloading 1 format(s): 251 [download] Destination: ./Temp/Stray Kids - Walkin On Water ｜ Piano Cover by Pianella Piano.webm [download] 100% of 2.80MiB in 00:00:00 at 4.73MiB/s [ExtractAudio] Destination: ./Temp/Stray Kids - Walkin On Water ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/Stray Kids - Walkin On Water ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 28 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=jwrXD6rTsjQ [youtube] jwrXD6rTsjQ: Downloading webpage [youtube] jwrXD6rTsjQ: Downloading tv client config [youtube] jwrXD6rTsjQ: Downloading tv player API JSON [youtube] jwrXD6rTsjQ: Downloading ios player API JSON [youtube] jwrXD6rTsjQ: Downloading m3u8 information [info] jwrXD6rTsjQ: Downloading 1 format(s): 251 [download] Destination: ./Temp/ROSÉ - stay a little longer ｜ Piano Cover by Pianella Piano.webm [download] 100% of 4.56MiB in 00:00:01 at 3.53MiB/s [ExtractAudio] Destination: ./Temp/ROSÉ - stay a little longer ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/ROSÉ - stay a little longer ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 29 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=48AH_CnISsw [youtube] 48AH_CnISsw: Downloading webpage [youtube] 48AH_CnISsw: Downloading tv client config [youtube] 48AH_CnISsw: Downloading tv player API JSON [youtube] 48AH_CnISsw: Downloading ios player API JSON [youtube] 48AH_CnISsw: Downloading m3u8 information [info] 48AH_CnISsw: Downloading 1 format(s): 251 [download] Destination: ./Temp/TWICE - Strategy (feat. Megan Thee Stallion) ｜ Piano Cover by Pianella Piano.webm [download] 100% of 3.92MiB in 00:00:00 at 7.02MiB/s [ExtractAudio] Destination: ./Temp/TWICE - Strategy (feat. Megan Thee Stallion) ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/TWICE - Strategy (feat. Megan Thee Stallion) ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 30 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=CqeOg3shQh8 [youtube] CqeOg3shQh8: Downloading webpage [youtube] CqeOg3shQh8: Downloading tv client config [youtube] CqeOg3shQh8: Downloading tv player API JSON [youtube] CqeOg3shQh8: Downloading ios player API JSON [youtube] CqeOg3shQh8: Downloading m3u8 information [info] CqeOg3shQh8: Downloading 1 format(s): 251 [download] Destination: ./Temp/ROSÉ - toxic till the end ｜ Piano Cover by Pianella Piano.webm [download] 100% of 2.89MiB in 00:00:00 at 4.46MiB/s [ExtractAudio] Destination: ./Temp/ROSÉ - toxic till the end ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/ROSÉ - toxic till the end ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 31 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=G_Of80BTr_o [youtube] G_Of80BTr_o: Downloading webpage [youtube] G_Of80BTr_o: Downloading tv client config [youtube] G_Of80BTr_o: Downloading tv player API JSON [youtube] G_Of80BTr_o: Downloading ios player API JSON [youtube] G_Of80BTr_o: Downloading m3u8 information [info] G_Of80BTr_o: Downloading 1 format(s): 251 [download] Destination: ./Temp/Loveholics - 아픔 (Requested by Patron： Tom) ｜ Piano Cover by Pianella Piano.webm [download] 100% of 4.03MiB in 00:00:00 at 6.04MiB/s [ExtractAudio] Destination: ./Temp/Loveholics - 아픔 (Requested by Patron： Tom) ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/Loveholics - 아픔 (Requested by Patron： Tom) ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 32 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=bczdGQc6uAU [youtube] bczdGQc6uAU: Downloading webpage [youtube] bczdGQc6uAU: Downloading tv client config [youtube] bczdGQc6uAU: Downloading tv player API JSON [youtube] bczdGQc6uAU: Downloading ios player API JSON [youtube] bczdGQc6uAU: Downloading m3u8 information [info] bczdGQc6uAU: Downloading 1 format(s): 251 [download] Destination: ./Temp/V - Winter Ahead (with PARK HYO SHIN) ｜ Piano Cover by Pianella Piano.webm [download] 100% of 4.15MiB in 00:00:00 at 7.00MiB/s [ExtractAudio] Destination: ./Temp/V - Winter Ahead (with PARK HYO SHIN) ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/V - Winter Ahead (with PARK HYO SHIN) ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 33 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=QW4E6bAjJ8E [youtube] QW4E6bAjJ8E: Downloading webpage [youtube] QW4E6bAjJ8E: Downloading tv client config [youtube] QW4E6bAjJ8E: Downloading tv player API JSON [youtube] QW4E6bAjJ8E: Downloading ios player API JSON [youtube] QW4E6bAjJ8E: Downloading m3u8 information [info] QW4E6bAjJ8E: Downloading 1 format(s): 251 [download] Destination: ./Temp/ENHYPEN - Daydream ｜ Piano Cover by Pianella Piano.webm [download] 100% of 2.26MiB in 00:00:00 at 3.32MiB/s [ExtractAudio] Destination: ./Temp/ENHYPEN - Daydream ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/ENHYPEN - Daydream ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 34 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=LbdGWbMIrtE [youtube] LbdGWbMIrtE: Downloading webpage [youtube] LbdGWbMIrtE: Downloading tv client config [youtube] LbdGWbMIrtE: Downloading tv player API JSON [youtube] LbdGWbMIrtE: Downloading ios player API JSON [youtube] LbdGWbMIrtE: Downloading m3u8 information [info] LbdGWbMIrtE: Downloading 1 format(s): 251 [download] Destination: ./Temp/ROSÉ - number one girl ｜ Piano Cover by Pianella Piano.webm [download] 100% of 3.95MiB in 00:00:00 at 6.99MiB/s [ExtractAudio] Destination: ./Temp/ROSÉ - number one girl ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/ROSÉ - number one girl ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 35 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=W15BlX5SEDc [youtube] W15BlX5SEDc: Downloading webpage [youtube] W15BlX5SEDc: Downloading tv client config [youtube] W15BlX5SEDc: Downloading tv player API JSON [youtube] W15BlX5SEDc: Downloading ios player API JSON [youtube] W15BlX5SEDc: Downloading m3u8 information [info] W15BlX5SEDc: Downloading 1 format(s): 251 [download] Destination: ./Temp/MEOVV - TOXIC ｜ Piano Cover by Pianella Piano.webm [download] 100% of 3.56MiB in 00:00:00 at 3.71MiB/s [ExtractAudio] Destination: ./Temp/MEOVV - TOXIC ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/MEOVV - TOXIC ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 36 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=gtH_g-j7Nm0 [youtube] gtH_g-j7Nm0: Downloading webpage [youtube] gtH_g-j7Nm0: Downloading tv client config [youtube] gtH_g-j7Nm0: Downloading tv player API JSON [youtube] gtH_g-j7Nm0: Downloading ios player API JSON [youtube] gtH_g-j7Nm0: Downloading m3u8 information [info] gtH_g-j7Nm0: Downloading 1 format(s): 251 [download] Destination: ./Temp/ILLIT - Tick-Tack ｜ Piano Cover by Pianella Piano.webm [download] 100% of 2.44MiB in 00:00:00 at 6.20MiB/s [ExtractAudio] Destination: ./Temp/ILLIT - Tick-Tack ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/ILLIT - Tick-Tack ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 37 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=E8zgl8RNbMU [youtube] E8zgl8RNbMU: Downloading webpage [youtube] E8zgl8RNbMU: Downloading tv client config [youtube] E8zgl8RNbMU: Downloading tv player API JSON [youtube] E8zgl8RNbMU: Downloading ios player API JSON [youtube] E8zgl8RNbMU: Downloading m3u8 information [info] E8zgl8RNbMU: Downloading 1 format(s): 251 [download] Destination: ./Temp/진 (Jin) - Running Wild ｜ Piano Cover by Pianella Piano.webm [download] 100% of 2.73MiB in 00:00:00 at 3.60MiB/s [ExtractAudio] Destination: ./Temp/진 (Jin) - Running Wild ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/진 (Jin) - Running Wild ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 38 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=flr32TgI3ok [youtube] flr32TgI3ok: Downloading webpage [youtube] flr32TgI3ok: Downloading tv client config [youtube] flr32TgI3ok: Downloading tv player API JSON [youtube] flr32TgI3ok: Downloading ios player API JSON [youtube] flr32TgI3ok: Downloading m3u8 information [info] flr32TgI3ok: Downloading 1 format(s): 251 [download] Destination: ./Temp/IVE, David Guetta - Supernova Love ｜ Piano Cover by Pianella Piano.webm [download] 100% of 3.60MiB in 00:00:00 at 6.85MiB/s [ExtractAudio] Destination: ./Temp/IVE, David Guetta - Supernova Love ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/IVE, David Guetta - Supernova Love ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 39 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=aWB85c0mk1g [youtube] aWB85c0mk1g: Downloading webpage [youtube] aWB85c0mk1g: Downloading tv client config [youtube] aWB85c0mk1g: Downloading tv player API JSON [youtube] aWB85c0mk1g: Downloading ios player API JSON [youtube] aWB85c0mk1g: Downloading m3u8 information [info] aWB85c0mk1g: Downloading 1 format(s): 251 [download] Destination: ./Temp/ENHYPEN - No Doubt ｜ Piano Cover by Pianella Piano.webm [download] 100% of 3.06MiB in 00:00:00 at 6.35MiB/s [ExtractAudio] Destination: ./Temp/ENHYPEN - No Doubt ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/ENHYPEN - No Doubt ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 40 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=OHWGfNOw_hg [youtube] OHWGfNOw_hg: Downloading webpage [youtube] OHWGfNOw_hg: Downloading tv client config [youtube] OHWGfNOw_hg: Downloading tv player API JSON [youtube] OHWGfNOw_hg: Downloading ios player API JSON [youtube] OHWGfNOw_hg: Downloading m3u8 information [info] OHWGfNOw_hg: Downloading 1 format(s): 251 [download] Destination: ./Temp/TXT - Heaven ｜ Piano Cover by Pianella Piano.webm [download] 100% of 2.80MiB in 00:00:00 at 4.20MiB/s [ExtractAudio] Destination: ./Temp/TXT - Heaven ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/TXT - Heaven ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 41 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=lBckLtnXqvw [youtube] lBckLtnXqvw: Downloading webpage [youtube] lBckLtnXqvw: Downloading tv client config [youtube] lBckLtnXqvw: Downloading tv player API JSON [youtube] lBckLtnXqvw: Downloading ios player API JSON [youtube] lBckLtnXqvw: Downloading m3u8 information [info] lBckLtnXqvw: Downloading 1 format(s): 251 [download] Destination: ./Temp/TXT - Over The Moon ｜ Piano Cover by Pianella Piano.webm [download] 100% of 2.79MiB in 00:00:00 at 6.80MiB/s [ExtractAudio] Destination: ./Temp/TXT - Over The Moon ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/TXT - Over The Moon ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 42 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=8D3Xx0EqbbY [youtube] 8D3Xx0EqbbY: Downloading webpage [youtube] 8D3Xx0EqbbY: Downloading tv client config [youtube] 8D3Xx0EqbbY: Downloading tv player API JSON [youtube] 8D3Xx0EqbbY: Downloading ios player API JSON [youtube] 8D3Xx0EqbbY: Downloading m3u8 information [info] 8D3Xx0EqbbY: Downloading 1 format(s): 251 [download] Destination: ./Temp/BABYMONSTER - DRIP ｜ Piano Cover by Pianella Piano.webm [download] 100% of 3.24MiB in 00:00:00 at 4.80MiB/s [ExtractAudio] Destination: ./Temp/BABYMONSTER - DRIP ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/BABYMONSTER - DRIP ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 43 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=3pRZFfoC8-0 [youtube] 3pRZFfoC8-0: Downloading webpage [youtube] 3pRZFfoC8-0: Downloading tv client config [youtube] 3pRZFfoC8-0: Downloading tv player API JSON [youtube] 3pRZFfoC8-0: Downloading ios player API JSON [youtube] 3pRZFfoC8-0: Downloading m3u8 information [info] 3pRZFfoC8-0: Downloading 1 format(s): 251 [download] Destination: ./Temp/BABYMONSTER - CLIK CLAK ｜ Piano Cover by Pianella Piano.webm [download] 100% of 3.08MiB in 00:00:00 at 7.41MiB/s [ExtractAudio] Destination: ./Temp/BABYMONSTER - CLIK CLAK ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/BABYMONSTER - CLIK CLAK ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 44 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=unxkWZj3cZA [youtube] unxkWZj3cZA: Downloading webpage [youtube] unxkWZj3cZA: Downloading tv client config [youtube] unxkWZj3cZA: Downloading tv player API JSON [youtube] unxkWZj3cZA: Downloading ios player API JSON [youtube] unxkWZj3cZA: Downloading m3u8 information [info] unxkWZj3cZA: Downloading 1 format(s): 251 [download] Destination: ./Temp/진 (Jin) - I'll Be There ｜ Piano Cover by Pianella Piano.webm [download] 100% of 3.16MiB in 00:00:00 at 4.38MiB/s [ExtractAudio] Destination: ./Temp/진 (Jin) - I'll Be There ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/진 (Jin) - I'll Be There ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 45 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=9r23LQebRlg [youtube] 9r23LQebRlg: Downloading webpage [youtube] 9r23LQebRlg: Downloading tv client config [youtube] 9r23LQebRlg: Downloading tv player API JSON [youtube] 9r23LQebRlg: Downloading ios player API JSON [youtube] 9r23LQebRlg: Downloading m3u8 information [info] 9r23LQebRlg: Downloading 1 format(s): 251 [download] Destination: ./Temp/SEVENTEEN - Eyes on you ｜ Piano Cover by Pianella Piano.webm [download] 100% of 2.98MiB in 00:00:00 at 4.77MiB/s [ExtractAudio] Destination: ./Temp/SEVENTEEN - Eyes on you ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/SEVENTEEN - Eyes on you ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 46 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=uMdaTlS4SuA [youtube] uMdaTlS4SuA: Downloading webpage [youtube] uMdaTlS4SuA: Downloading tv client config [youtube] uMdaTlS4SuA: Downloading tv player API JSON [youtube] uMdaTlS4SuA: Downloading ios player API JSON [youtube] uMdaTlS4SuA: Downloading m3u8 information [info] uMdaTlS4SuA: Downloading 1 format(s): 251 [download] Destination: ./Temp/ILLIT - Cherish (My Love) ｜ Piano Cover by Pianella Piano.webm [download] 100% of 3.25MiB in 00:00:00 at 5.53MiB/s [ExtractAudio] Destination: ./Temp/ILLIT - Cherish (My Love) ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/ILLIT - Cherish (My Love) ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 47 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=2HfDMiPpnh0 [youtube] 2HfDMiPpnh0: Downloading webpage [youtube] 2HfDMiPpnh0: Downloading tv client config [youtube] 2HfDMiPpnh0: Downloading tv player API JSON [youtube] 2HfDMiPpnh0: Downloading ios player API JSON [youtube] 2HfDMiPpnh0: Downloading m3u8 information [info] 2HfDMiPpnh0: Downloading 1 format(s): 251 [download] Destination: ./Temp/ROSÉ & Bruno Mars - APT. ｜ Piano Cover by Pianella Piano.webm [download] 100% of 3.02MiB in 00:00:00 at 5.96MiB/s [ExtractAudio] Destination: ./Temp/ROSÉ & Bruno Mars - APT. ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/ROSÉ & Bruno Mars - APT. ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 48 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=8EBSOtrDK5o [youtube] 8EBSOtrDK5o: Downloading webpage [youtube] 8EBSOtrDK5o: Downloading tv client config [youtube] 8EBSOtrDK5o: Downloading tv player API JSON [youtube] 8EBSOtrDK5o: Downloading ios player API JSON [youtube] 8EBSOtrDK5o: Downloading m3u8 information [info] 8EBSOtrDK5o: Downloading 1 format(s): 251 [download] Destination: ./Temp/SEVENTEEN - LOVE, MONEY, FAME (feat. DJ Khaled) ｜ Piano Cover by Pianella Piano.webm [download] 100% of 3.45MiB in 00:00:00 at 7.39MiB/s [ExtractAudio] Destination: ./Temp/SEVENTEEN - LOVE, MONEY, FAME (feat. DJ Khaled) ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/SEVENTEEN - LOVE, MONEY, FAME (feat. DJ Khaled) ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 49 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=OQKRydZ_xok [youtube] OQKRydZ_xok: Downloading webpage [youtube] OQKRydZ_xok: Downloading tv client config [youtube] OQKRydZ_xok: Downloading tv player API JSON [youtube] OQKRydZ_xok: Downloading ios player API JSON [youtube] OQKRydZ_xok: Downloading m3u8 information [info] OQKRydZ_xok: Downloading 1 format(s): 251 [download] Destination: ./Temp/JENNIE - Mantra ｜ Piano Cover by Pianella Piano.webm [download] 100% of 2.50MiB in 00:00:00 at 4.91MiB/s [ExtractAudio] Destination: ./Temp/JENNIE - Mantra ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/JENNIE - Mantra ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 50 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=CDthkVwgouM [youtube] CDthkVwgouM: Downloading webpage [youtube] CDthkVwgouM: Downloading tv client config [youtube] CDthkVwgouM: Downloading tv player API JSON [youtube] CDthkVwgouM: Downloading ios player API JSON [youtube] CDthkVwgouM: Downloading m3u8 information [info] CDthkVwgouM: Downloading 1 format(s): 251 [download] Destination: ./Temp/LISA - MOONLIT FLOOR ｜ Piano Cover by Pianella Piano.webm [download] 100% of 2.89MiB in 00:00:00 at 4.55MiB/s [ExtractAudio] Destination: ./Temp/LISA - MOONLIT FLOOR ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/LISA - MOONLIT FLOOR ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 51 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=87nrlSrdOUI [youtube] 87nrlSrdOUI: Downloading webpage [youtube] 87nrlSrdOUI: Downloading tv client config [youtube] 87nrlSrdOUI: Downloading tv player API JSON [youtube] 87nrlSrdOUI: Downloading ios player API JSON [youtube] 87nrlSrdOUI: Downloading m3u8 information [info] 87nrlSrdOUI: Downloading 1 format(s): 251 [download] Destination: ./Temp/BAEKHYUN - Pineapple Slice ｜ Piano Cover by Pianella Piano.webm [download] 100% of 3.71MiB in 00:00:00 at 6.18MiB/s [ExtractAudio] Destination: ./Temp/BAEKHYUN - Pineapple Slice ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/BAEKHYUN - Pineapple Slice ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 52 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=z51AMxvdh9s [youtube] z51AMxvdh9s: Downloading webpage [youtube] z51AMxvdh9s: Downloading tv client config [youtube] z51AMxvdh9s: Downloading tv player API JSON [youtube] z51AMxvdh9s: Downloading ios player API JSON [youtube] z51AMxvdh9s: Downloading m3u8 information [info] z51AMxvdh9s: Downloading 1 format(s): 251 [download] Destination: ./Temp/MEOVV - MEOW ｜ Piano Cover by Pianella Piano.webm [download] 100% of 3.15MiB in 00:00:00 at 5.99MiB/s [ExtractAudio] Destination: ./Temp/MEOVV - MEOW ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/MEOVV - MEOW ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 53 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=qh3nl8Ioj88 [youtube] qh3nl8Ioj88: Downloading webpage [youtube] qh3nl8Ioj88: Downloading tv client config [youtube] qh3nl8Ioj88: Downloading tv player API JSON [youtube] qh3nl8Ioj88: Downloading ios player API JSON [youtube] qh3nl8Ioj88: Downloading m3u8 information [info] qh3nl8Ioj88: Downloading 1 format(s): 251 [download] Destination: ./Temp/LE SSERAFIM - CRAZY ｜ Piano Cover by Pianella Piano.webm [download] 100% of 3.08MiB in 00:00:00 at 4.02MiB/s [ExtractAudio] Destination: ./Temp/LE SSERAFIM - CRAZY ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/LE SSERAFIM - CRAZY ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 54 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=a2MwHjNHLtM [youtube] a2MwHjNHLtM: Downloading webpage [youtube] a2MwHjNHLtM: Downloading tv client config [youtube] a2MwHjNHLtM: Downloading tv player API JSON [youtube] a2MwHjNHLtM: Downloading ios player API JSON [youtube] a2MwHjNHLtM: Downloading m3u8 information [info] a2MwHjNHLtM: Downloading 1 format(s): 251 [download] Destination: ./Temp/LISA - NEW WOMAN feat. Rosalía ｜ Piano Cover by Pianella Piano.webm [download] 100% of 3.17MiB in 00:00:00 at 4.55MiB/s [ExtractAudio] Destination: ./Temp/LISA - NEW WOMAN feat. Rosalía ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/LISA - NEW WOMAN feat. Rosalía ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 55 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=b53BLmHKjHM [youtube] b53BLmHKjHM: Downloading webpage [youtube] b53BLmHKjHM: Downloading tv client config [youtube] b53BLmHKjHM: Downloading tv player API JSON [youtube] b53BLmHKjHM: Downloading ios player API JSON [youtube] b53BLmHKjHM: Downloading m3u8 information [info] b53BLmHKjHM: Downloading 1 format(s): 251 [download] Destination: ./Temp/[Full Album] Jung Kook - GOLDEN ｜ Piano Cover by Pianella Piano.webm [download] 100% of 63.36MiB in 00:00:07 at 8.78MiB/s [ExtractAudio] Destination: ./Temp/[Full Album] Jung Kook - GOLDEN ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/[Full Album] Jung Kook - GOLDEN ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 56 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=z2TB6_xp9mg [youtube] z2TB6_xp9mg: Downloading webpage [youtube] z2TB6_xp9mg: Downloading tv client config [youtube] z2TB6_xp9mg: Downloading tv player API JSON [youtube] z2TB6_xp9mg: Downloading ios player API JSON [youtube] z2TB6_xp9mg: Downloading m3u8 information [info] z2TB6_xp9mg: Downloading 1 format(s): 251 [download] Destination: ./Temp/ENHYPEN - Brought The Heat Back ｜ Piano Cover by Pianella Piano.webm [download] 100% of 3.35MiB in 00:00:00 at 7.25MiB/s [ExtractAudio] Destination: ./Temp/ENHYPEN - Brought The Heat Back ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/ENHYPEN - Brought The Heat Back ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 57 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=Wy-Ho1GkIQg [youtube] Wy-Ho1GkIQg: Downloading webpage [youtube] Wy-Ho1GkIQg: Downloading tv client config [youtube] Wy-Ho1GkIQg: Downloading tv player API JSON [youtube] Wy-Ho1GkIQg: Downloading ios player API JSON [youtube] Wy-Ho1GkIQg: Downloading m3u8 information [info] Wy-Ho1GkIQg: Downloading 1 format(s): 251 [download] Destination: ./Temp/Stray Kids - 또 다시 밤 twilight ｜ Piano Cover by Pianella Piano.webm [download] 100% of 3.55MiB in 00:00:00 at 7.47MiB/s [ExtractAudio] Destination: ./Temp/Stray Kids - 또 다시 밤 twilight ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/Stray Kids - 또 다시 밤 twilight ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 58 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=jB5mSGu_21Q [youtube] jB5mSGu_21Q: Downloading webpage [youtube] jB5mSGu_21Q: Downloading tv client config [youtube] jB5mSGu_21Q: Downloading tv player API JSON [youtube] jB5mSGu_21Q: Downloading ios player API JSON [youtube] jB5mSGu_21Q: Downloading m3u8 information [info] jB5mSGu_21Q: Downloading 1 format(s): 251 [download] Destination: ./Temp/ENHYPEN - Moonstruck ｜ Piano Cover by Pianella Piano.webm [download] 100% of 3.00MiB in 00:00:00 at 5.71MiB/s [ExtractAudio] Destination: ./Temp/ENHYPEN - Moonstruck ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/ENHYPEN - Moonstruck ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 59 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=yB-DvGHK_4w [youtube] yB-DvGHK_4w: Downloading webpage [youtube] yB-DvGHK_4w: Downloading tv client config [youtube] yB-DvGHK_4w: Downloading tv player API JSON [youtube] yB-DvGHK_4w: Downloading ios player API JSON [youtube] yB-DvGHK_4w: Downloading m3u8 information [info] yB-DvGHK_4w: Downloading 1 format(s): 251 [download] Destination: ./Temp/Jimin - Who ｜ Piano Cover by Pianella Piano.webm [download] 100% of 3.21MiB in 00:00:00 at 6.49MiB/s [ExtractAudio] Destination: ./Temp/Jimin - Who ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/Jimin - Who ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 60 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=xUZXfyOk2mg [youtube] xUZXfyOk2mg: Downloading webpage [youtube] xUZXfyOk2mg: Downloading tv client config [youtube] xUZXfyOk2mg: Downloading tv player API JSON [youtube] xUZXfyOk2mg: Downloading ios player API JSON [youtube] xUZXfyOk2mg: Downloading m3u8 information [info] xUZXfyOk2mg: Downloading 1 format(s): 251 [download] Destination: ./Temp/Stray Kids - Chk Chk Boom ｜ Piano Cover by Pianella Piano.webm [download] 100% of 2.73MiB in 00:00:00 at 6.61MiB/s [ExtractAudio] Destination: ./Temp/Stray Kids - Chk Chk Boom ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/Stray Kids - Chk Chk Boom ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 61 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=Cd5nNavvUfk [youtube] Cd5nNavvUfk: Downloading webpage [youtube] Cd5nNavvUfk: Downloading tv client config [youtube] Cd5nNavvUfk: Downloading tv player API JSON [youtube] Cd5nNavvUfk: Downloading ios player API JSON [youtube] Cd5nNavvUfk: Downloading m3u8 information [info] Cd5nNavvUfk: Downloading 1 format(s): 251 [download] Destination: ./Temp/ENHYPEN - Highway 1009 ｜ Piano Cover by Pianella Piano.webm [download] 100% of 3.24MiB in 00:00:00 at 6.09MiB/s [ExtractAudio] Destination: ./Temp/ENHYPEN - Highway 1009 ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/ENHYPEN - Highway 1009 ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 62 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=nGp-j5-UeG8 [youtube] nGp-j5-UeG8: Downloading webpage [youtube] nGp-j5-UeG8: Downloading tv client config [youtube] nGp-j5-UeG8: Downloading tv player API JSON [youtube] nGp-j5-UeG8: Downloading ios player API JSON [youtube] nGp-j5-UeG8: Downloading m3u8 information [info] nGp-j5-UeG8: Downloading 1 format(s): 251 [download] Destination: ./Temp/(G)I-DLE - Klaxon ｜ Piano Cover by Pianella Piano.webm [download] 100% of 3.32MiB in 00:00:00 at 6.92MiB/s [ExtractAudio] Destination: ./Temp/(G)I-DLE - Klaxon ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/(G)I-DLE - Klaxon ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 63 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=WYyqST-hXjQ [youtube] WYyqST-hXjQ: Downloading webpage [youtube] WYyqST-hXjQ: Downloading tv client config [youtube] WYyqST-hXjQ: Downloading tv player API JSON [youtube] WYyqST-hXjQ: Downloading ios player API JSON [youtube] WYyqST-hXjQ: Downloading m3u8 information [info] WYyqST-hXjQ: Downloading 1 format(s): 251 [download] Destination: ./Temp/ENHYPEN - XO (Only If You Say Yes) ｜ Piano Cover by Pianella Piano.webm [download] 100% of 3.51MiB in 00:00:00 at 11.26MiB/s [ExtractAudio] Destination: ./Temp/ENHYPEN - XO (Only If You Say Yes) ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/ENHYPEN - XO (Only If You Say Yes) ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 64 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=SNs_jV1uddk [youtube] SNs_jV1uddk: Downloading webpage [youtube] SNs_jV1uddk: Downloading tv client config [youtube] SNs_jV1uddk: Downloading tv player API JSON [youtube] SNs_jV1uddk: Downloading ios player API JSON [youtube] SNs_jV1uddk: Downloading m3u8 information [info] SNs_jV1uddk: Downloading 1 format(s): 251 [download] Destination: ./Temp/Jimin - Smeraldo Garden Marching Band (feat. Loco) ｜ Piano Cover by Pianella Piano.webm [download] 100% of 3.52MiB in 00:00:00 at 4.99MiB/s [ExtractAudio] Destination: ./Temp/Jimin - Smeraldo Garden Marching Band (feat. Loco) ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/Jimin - Smeraldo Garden Marching Band (feat. Loco) ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 65 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=0s2_Vs9FsxM [youtube] 0s2_Vs9FsxM: Downloading webpage [youtube] 0s2_Vs9FsxM: Downloading tv client config [youtube] 0s2_Vs9FsxM: Downloading tv player API JSON [youtube] 0s2_Vs9FsxM: Downloading ios player API JSON [youtube] 0s2_Vs9FsxM: Downloading m3u8 information [info] 0s2_Vs9FsxM: Downloading 1 format(s): 251 [download] Destination: ./Temp/BABYMONSTER - FOREVER ｜ Piano Cover by Pianella Piano.webm [download] 100% of 4.00MiB in 00:00:00 at 7.18MiB/s [ExtractAudio] Destination: ./Temp/BABYMONSTER - FOREVER ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/BABYMONSTER - FOREVER ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 66 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=fs3oPG2P-DQ [youtube] fs3oPG2P-DQ: Downloading webpage [youtube] fs3oPG2P-DQ: Downloading tv client config [youtube] fs3oPG2P-DQ: Downloading tv player API JSON [youtube] fs3oPG2P-DQ: Downloading ios player API JSON [youtube] fs3oPG2P-DQ: Downloading m3u8 information [info] fs3oPG2P-DQ: Downloading 1 format(s): 251 [download] Destination: ./Temp/LISA - ROCKSTAR ｜ Piano Cover by Pianella Piano.webm [download] 100% of 3.05MiB in 00:00:00 at 4.24MiB/s [ExtractAudio] Destination: ./Temp/LISA - ROCKSTAR ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/LISA - ROCKSTAR ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 67 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=KbELfIBDb4w [youtube] KbELfIBDb4w: Downloading webpage [youtube] KbELfIBDb4w: Downloading tv client config [youtube] KbELfIBDb4w: Downloading tv player API JSON [youtube] KbELfIBDb4w: Downloading ios player API JSON [youtube] KbELfIBDb4w: Downloading m3u8 information [info] KbELfIBDb4w: Downloading 1 format(s): 251 [download] Destination: ./Temp/NewJeans - Supernatural ｜ Piano Cover by Pianella Piano.webm [download] 100% of 3.52MiB in 00:00:00 at 4.59MiB/s [ExtractAudio] Destination: ./Temp/NewJeans - Supernatural ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/NewJeans - Supernatural ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 68 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=VeJhh7-GN5E [youtube] VeJhh7-GN5E: Downloading webpage [youtube] VeJhh7-GN5E: Downloading tv client config [youtube] VeJhh7-GN5E: Downloading tv player API JSON [youtube] VeJhh7-GN5E: Downloading ios player API JSON [youtube] VeJhh7-GN5E: Downloading m3u8 information [info] VeJhh7-GN5E: Downloading 1 format(s): 251 [download] Destination: ./Temp/NewJeans - Right Now ｜ Piano Cover by Pianella Piano.webm [download] 100% of 3.05MiB in 00:00:00 at 4.38MiB/s [ExtractAudio] Destination: ./Temp/NewJeans - Right Now ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/NewJeans - Right Now ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 69 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=rtNpC_X_LeU [youtube] rtNpC_X_LeU: Downloading webpage [youtube] rtNpC_X_LeU: Downloading tv client config [youtube] rtNpC_X_LeU: Downloading tv player API JSON [youtube] rtNpC_X_LeU: Downloading ios player API JSON [youtube] rtNpC_X_LeU: Downloading m3u8 information [info] rtNpC_X_LeU: Downloading 1 format(s): 251 [download] Destination: ./Temp/NAYEON - ABCD ｜ Piano Cover by Pianella Piano.webm [download] 100% of 3.68MiB in 00:00:00 at 7.82MiB/s [ExtractAudio] Destination: ./Temp/NAYEON - ABCD ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/NAYEON - ABCD ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 70 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=tA1NKXudQbk [youtube] tA1NKXudQbk: Downloading webpage [youtube] tA1NKXudQbk: Downloading tv client config [youtube] tA1NKXudQbk: Downloading tv player API JSON [youtube] tA1NKXudQbk: Downloading ios player API JSON [youtube] tA1NKXudQbk: Downloading m3u8 information [info] tA1NKXudQbk: Downloading 1 format(s): 251 [download] Destination: ./Temp/Jung Kook - Please Don’t Change (feat. DJ Snake) ｜ Piano Cover by Pianella Piano.webm [download] 100% of 2.64MiB in 00:00:00 at 5.77MiB/s [ExtractAudio] Destination: ./Temp/Jung Kook - Please Don’t Change (feat. DJ Snake) ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/Jung Kook - Please Don’t Change (feat. DJ Snake) ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 71 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=1jk9OZ4h5hU [youtube] 1jk9OZ4h5hU: Downloading webpage [youtube] 1jk9OZ4h5hU: Downloading tv client config [youtube] 1jk9OZ4h5hU: Downloading tv player API JSON [youtube] 1jk9OZ4h5hU: Downloading ios player API JSON [youtube] 1jk9OZ4h5hU: Downloading m3u8 information [info] 1jk9OZ4h5hU: Downloading 1 format(s): 251 [download] Destination: ./Temp/Jung Kook - Never Let Go ｜ Piano Cover by Pianella Piano.webm [download] 100% of 3.16MiB in 00:00:00 at 4.31MiB/s [ExtractAudio] Destination: ./Temp/Jung Kook - Never Let Go ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/Jung Kook - Never Let Go ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 72 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=GaGDd0PaKVQ [youtube] GaGDd0PaKVQ: Downloading webpage [youtube] GaGDd0PaKVQ: Downloading tv client config [youtube] GaGDd0PaKVQ: Downloading tv player API JSON [youtube] GaGDd0PaKVQ: Downloading ios player API JSON [youtube] GaGDd0PaKVQ: Downloading m3u8 information [info] GaGDd0PaKVQ: Downloading 1 format(s): 251 [download] Destination: ./Temp/ECLIPSE - Sudden Shower (OST Lovely Runner) ｜ Piano Cover by Pianella Piano.webm [download] 100% of 4.19MiB in 00:00:00 at 7.61MiB/s [ExtractAudio] Destination: ./Temp/ECLIPSE - Sudden Shower (OST Lovely Runner) ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/ECLIPSE - Sudden Shower (OST Lovely Runner) ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 73 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=7sKITIyyv5A [youtube] 7sKITIyyv5A: Downloading webpage [youtube] 7sKITIyyv5A: Downloading tv client config [youtube] 7sKITIyyv5A: Downloading tv player API JSON [youtube] 7sKITIyyv5A: Downloading ios player API JSON [youtube] 7sKITIyyv5A: Downloading m3u8 information [info] 7sKITIyyv5A: Downloading 1 format(s): 251 [download] Destination: ./Temp/ATEEZ - WORK ｜ Piano Cover by Pianella Piano.webm [download] 100% of 3.25MiB in 00:00:00 at 6.76MiB/s [ExtractAudio] Destination: ./Temp/ATEEZ - WORK ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/ATEEZ - WORK ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 74 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=m_9NfNCBpn8 [youtube] m_9NfNCBpn8: Downloading webpage [youtube] m_9NfNCBpn8: Downloading tv client config [youtube] m_9NfNCBpn8: Downloading tv player API JSON [youtube] m_9NfNCBpn8: Downloading ios player API JSON [youtube] m_9NfNCBpn8: Downloading m3u8 information [info] m_9NfNCBpn8: Downloading 1 format(s): 251 [download] Destination: ./Temp/aespa - Armageddon ｜ Piano Cover by Pianella Piano.webm [download] 100% of 3.71MiB in 00:00:00 at 6.18MiB/s [ExtractAudio] Destination: ./Temp/aespa - Armageddon ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/aespa - Armageddon ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 75 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=V1VQC0r4Mbw [youtube] V1VQC0r4Mbw: Downloading webpage [youtube] V1VQC0r4Mbw: Downloading tv client config [youtube] V1VQC0r4Mbw: Downloading tv player API JSON [youtube] V1VQC0r4Mbw: Downloading ios player API JSON [youtube] V1VQC0r4Mbw: Downloading m3u8 information [info] V1VQC0r4Mbw: Downloading 1 format(s): 251 [download] Destination: ./Temp/NewJeans - How Sweet ｜ Piano Cover by Pianella Piano.webm [download] 100% of 3.94MiB in 00:00:00 at 10.28MiB/s [ExtractAudio] Destination: ./Temp/NewJeans - How Sweet ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/NewJeans - How Sweet ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 76 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=5UtGyP05LOA [youtube] 5UtGyP05LOA: Downloading webpage [youtube] 5UtGyP05LOA: Downloading tv client config [youtube] 5UtGyP05LOA: Downloading tv player API JSON [youtube] 5UtGyP05LOA: Downloading ios player API JSON [youtube] 5UtGyP05LOA: Downloading m3u8 information [info] 5UtGyP05LOA: Downloading 1 format(s): 251 [download] Destination: ./Temp/BABYMONSTER - MONSTERS (Intro) ｜ Piano Cover by Pianella Piano.webm [download] 100% of 854.60KiB in 00:00:00 at 3.43MiB/s [ExtractAudio] Destination: ./Temp/BABYMONSTER - MONSTERS (Intro) ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/BABYMONSTER - MONSTERS (Intro) ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 77 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=qVahX7Us6GY [youtube] qVahX7Us6GY: Downloading webpage [youtube] qVahX7Us6GY: Downloading tv client config [youtube] qVahX7Us6GY: Downloading tv player API JSON [youtube] qVahX7Us6GY: Downloading ios player API JSON [youtube] qVahX7Us6GY: Downloading m3u8 information [info] qVahX7Us6GY: Downloading 1 format(s): 251 [download] Destination: ./Temp/ENHYPEN - Fatal Trouble ｜ Piano Cover by Pianella Piano.webm [download] 100% of 3.12MiB in 00:00:00 at 6.35MiB/s [ExtractAudio] Destination: ./Temp/ENHYPEN - Fatal Trouble ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/ENHYPEN - Fatal Trouble ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 78 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=NIMYoLre9Ek [youtube] NIMYoLre9Ek: Downloading webpage [youtube] NIMYoLre9Ek: Downloading tv client config [youtube] NIMYoLre9Ek: Downloading tv player API JSON [youtube] NIMYoLre9Ek: Downloading ios player API JSON [youtube] NIMYoLre9Ek: Downloading m3u8 information [info] NIMYoLre9Ek: Downloading 1 format(s): 251 [download] Destination: ./Temp/Stray Kids - Lose My Breath (Feat. Charlie Puth) ｜ Piano Cover by Pianella Piano.webm [download] 100% of 3.21MiB in 00:00:00 at 6.58MiB/s [ExtractAudio] Destination: ./Temp/Stray Kids - Lose My Breath (Feat. Charlie Puth) ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/Stray Kids - Lose My Breath (Feat. Charlie Puth) ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 79 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=ysh8jW4y33Q [youtube] ysh8jW4y33Q: Downloading webpage [youtube] ysh8jW4y33Q: Downloading tv client config [youtube] ysh8jW4y33Q: Downloading tv player API JSON [youtube] ysh8jW4y33Q: Downloading ios player API JSON [youtube] ysh8jW4y33Q: Downloading m3u8 information [info] ysh8jW4y33Q: Downloading 1 format(s): 251 [download] Destination: ./Temp/ILLIT - Lucky Girl Syndrome ｜ Piano Cover by Pianella Piano.webm [download] 100% of 2.61MiB in 00:00:00 at 5.77MiB/s [ExtractAudio] Destination: ./Temp/ILLIT - Lucky Girl Syndrome ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/ILLIT - Lucky Girl Syndrome ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 80 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=EcuUj-_41yA [youtube] EcuUj-_41yA: Downloading webpage [youtube] EcuUj-_41yA: Downloading tv client config [youtube] EcuUj-_41yA: Downloading tv player API JSON [youtube] EcuUj-_41yA: Downloading ios player API JSON [youtube] EcuUj-_41yA: Downloading m3u8 information [info] EcuUj-_41yA: Downloading 1 format(s): 251 [download] Destination: ./Temp/IVE - HEYA ｜ Piano Cover by Pianella Piano.webm [download] 100% of 3.54MiB in 00:00:00 at 7.04MiB/s [ExtractAudio] Destination: ./Temp/IVE - HEYA ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/IVE - HEYA ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 81 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=poYkQuwEfD0 [youtube] poYkQuwEfD0: Downloading webpage [youtube] poYkQuwEfD0: Downloading tv client config [youtube] poYkQuwEfD0: Downloading tv player API JSON [youtube] poYkQuwEfD0: Downloading ios player API JSON [youtube] poYkQuwEfD0: Downloading m3u8 information [info] poYkQuwEfD0: Downloading 1 format(s): 251 [download] Destination: ./Temp/SEVENTEEN - MAESTRO ｜ Piano Cover by Pianella Piano.webm [download] 100% of 3.65MiB in 00:00:00 at 7.07MiB/s [ExtractAudio] Destination: ./Temp/SEVENTEEN - MAESTRO ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/SEVENTEEN - MAESTRO ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 82 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=opRrweO5W5A [youtube] opRrweO5W5A: Downloading webpage [youtube] opRrweO5W5A: Downloading tv client config [youtube] opRrweO5W5A: Downloading tv player API JSON [youtube] opRrweO5W5A: Downloading ios player API JSON [youtube] opRrweO5W5A: Downloading m3u8 information [info] opRrweO5W5A: Downloading 1 format(s): 251 [download] Destination: ./Temp/ZICO - SPOT! (feat. JENNIE) ｜ Piano Cover by Pianella Piano.webm [download] 100% of 3.08MiB in 00:00:00 at 4.75MiB/s [ExtractAudio] Destination: ./Temp/ZICO - SPOT! (feat. JENNIE) ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/ZICO - SPOT! (feat. JENNIE) ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 83 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=UncrxWAmfcs [youtube] UncrxWAmfcs: Downloading webpage [youtube] UncrxWAmfcs: Downloading tv client config [youtube] UncrxWAmfcs: Downloading tv player API JSON [youtube] UncrxWAmfcs: Downloading ios player API JSON [youtube] UncrxWAmfcs: Downloading m3u8 information [info] UncrxWAmfcs: Downloading 1 format(s): 251 [download] Destination: ./Temp/NewJeans - Bubble Gum ｜ Piano Cover by Pianella Piano.webm [download] 100% of 3.69MiB in 00:00:00 at 6.73MiB/s [ExtractAudio] Destination: ./Temp/NewJeans - Bubble Gum ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/NewJeans - Bubble Gum ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 84 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=V2FiCEgJ0jg [youtube] V2FiCEgJ0jg: Downloading webpage [youtube] V2FiCEgJ0jg: Downloading tv client config [youtube] V2FiCEgJ0jg: Downloading tv player API JSON [youtube] V2FiCEgJ0jg: Downloading ios player API JSON [youtube] V2FiCEgJ0jg: Downloading m3u8 information [info] V2FiCEgJ0jg: Downloading 1 format(s): 251 [download] Destination: ./Temp/j-hope & Jung Kook - i wonder… ｜ Piano Cover by Pianella Piano.webm [download] 100% of 2.94MiB in 00:00:00 at 6.37MiB/s [ExtractAudio] Destination: ./Temp/j-hope & Jung Kook - i wonder… ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/j-hope & Jung Kook - i wonder… ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 85 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=QoljJ_rNhgs [youtube] QoljJ_rNhgs: Downloading webpage [youtube] QoljJ_rNhgs: Downloading tv client config [youtube] QoljJ_rNhgs: Downloading tv player API JSON [youtube] QoljJ_rNhgs: Downloading ios player API JSON [youtube] QoljJ_rNhgs: Downloading m3u8 information [info] QoljJ_rNhgs: Downloading 1 format(s): 251 [download] Destination: ./Temp/BABYMONSTER - LIKE THAT ｜ Piano Cover by Pianella Piano.webm [download] 100% of 3.18MiB in 00:00:00 at 7.02MiB/s [ExtractAudio] Destination: ./Temp/BABYMONSTER - LIKE THAT ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/BABYMONSTER - LIKE THAT ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 86 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=U_2d_U8WlSE [youtube] U_2d_U8WlSE: Downloading webpage [youtube] U_2d_U8WlSE: Downloading tv client config [youtube] U_2d_U8WlSE: Downloading tv player API JSON [youtube] U_2d_U8WlSE: Downloading ios player API JSON [youtube] U_2d_U8WlSE: Downloading m3u8 information [info] U_2d_U8WlSE: Downloading 1 format(s): 251 [download] Destination: ./Temp/TXT - Deja Vu ｜ Piano Cover by Pianella Piano.webm [download] 100% of 3.18MiB in 00:00:00 at 6.51MiB/s [ExtractAudio] Destination: ./Temp/TXT - Deja Vu ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/TXT - Deja Vu ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 87 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=YKIATNyVBKg [youtube] YKIATNyVBKg: Downloading webpage [youtube] YKIATNyVBKg: Downloading tv client config [youtube] YKIATNyVBKg: Downloading tv player API JSON [youtube] YKIATNyVBKg: Downloading ios player API JSON [youtube] YKIATNyVBKg: Downloading m3u8 information [info] YKIATNyVBKg: Downloading 1 format(s): 251 [download] Destination: ./Temp/BABYMONSTER - SHEESH ｜ Piano Cover by Pianella Piano.webm [download] 100% of 3.19MiB in 00:00:00 at 6.36MiB/s [ExtractAudio] Destination: ./Temp/BABYMONSTER - SHEESH ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/BABYMONSTER - SHEESH ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 88 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=c6AhivAiftw [youtube] c6AhivAiftw: Downloading webpage [youtube] c6AhivAiftw: Downloading tv client config [youtube] c6AhivAiftw: Downloading tv player API JSON [youtube] c6AhivAiftw: Downloading ios player API JSON [youtube] c6AhivAiftw: Downloading m3u8 information [info] c6AhivAiftw: Downloading 1 format(s): 251 [download] Destination: ./Temp/ILLIT - Magnetic ｜ Piano Cover by Pianella Piano.webm [download] 100% of 2.99MiB in 00:00:00 at 6.00MiB/s [ExtractAudio] Destination: ./Temp/ILLIT - Magnetic ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/ILLIT - Magnetic ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 89 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=w0IBgLoKvCY [youtube] w0IBgLoKvCY: Downloading webpage [youtube] w0IBgLoKvCY: Downloading tv client config [youtube] w0IBgLoKvCY: Downloading tv player API JSON [youtube] w0IBgLoKvCY: Downloading ios player API JSON [youtube] w0IBgLoKvCY: Downloading m3u8 information [info] w0IBgLoKvCY: Downloading 1 format(s): 251 [download] Destination: ./Temp/Jung Kook - Somebody ｜ Piano Cover by Pianella Piano.webm [download] 100% of 3.14MiB in 00:00:00 at 6.23MiB/s [ExtractAudio] Destination: ./Temp/Jung Kook - Somebody ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/Jung Kook - Somebody ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 90 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=ulrjuX9XVdA [youtube] ulrjuX9XVdA: Downloading webpage [youtube] ulrjuX9XVdA: Downloading tv client config [youtube] ulrjuX9XVdA: Downloading tv player API JSON [youtube] ulrjuX9XVdA: Downloading ios player API JSON [youtube] ulrjuX9XVdA: Downloading m3u8 information [info] ulrjuX9XVdA: Downloading 1 format(s): 251 [download] Destination: ./Temp/LE SSERAFIM - Swan Song ｜ Piano Cover by Pianella Piano.webm [download] 100% of 2.83MiB in 00:00:00 at 6.31MiB/s [ExtractAudio] Destination: ./Temp/LE SSERAFIM - Swan Song ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/LE SSERAFIM - Swan Song ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 91 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=D_xKqELLMho [youtube] D_xKqELLMho: Downloading webpage [youtube] D_xKqELLMho: Downloading tv client config [youtube] D_xKqELLMho: Downloading tv player API JSON [youtube] D_xKqELLMho: Downloading ios player API JSON [youtube] D_xKqELLMho: Downloading m3u8 information [info] D_xKqELLMho: Downloading 1 format(s): 251 [download] Destination: ./Temp/BTS V - FRI(END)S ｜ Piano Cover by Pianella Piano.webm [download] 100% of 2.70MiB in 00:00:00 at 3.63MiB/s [ExtractAudio] Destination: ./Temp/BTS V - FRI(END)S ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/BTS V - FRI(END)S ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 92 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=q3UM8MVNNAE [youtube] q3UM8MVNNAE: Downloading webpage [youtube] q3UM8MVNNAE: Downloading tv client config [youtube] q3UM8MVNNAE: Downloading tv player API JSON [youtube] q3UM8MVNNAE: Downloading ios player API JSON [youtube] q3UM8MVNNAE: Downloading m3u8 information [info] q3UM8MVNNAE: Downloading 1 format(s): 251 [download] Destination: ./Temp/LE SSERAFIM - Smart ｜ Piano Cover by Pianella Piano.webm [download] 100% of 3.05MiB in 00:00:00 at 4.65MiB/s [ExtractAudio] Destination: ./Temp/LE SSERAFIM - Smart ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/LE SSERAFIM - Smart ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 93 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=YiNoILnQ74Y [youtube] YiNoILnQ74Y: Downloading webpage [youtube] YiNoILnQ74Y: Downloading tv client config [youtube] YiNoILnQ74Y: Downloading tv player API JSON [youtube] YiNoILnQ74Y: Downloading ios player API JSON [youtube] YiNoILnQ74Y: Downloading m3u8 information [info] YiNoILnQ74Y: Downloading 1 format(s): 251 [download] Destination: ./Temp/Jung Kook - Closer to You (feat. Major Lazer) ｜ Piano Cover by Pianella Piano.webm [download] 100% of 3.01MiB in 00:00:00 at 4.43MiB/s [ExtractAudio] Destination: ./Temp/Jung Kook - Closer to You (feat. Major Lazer) ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/Jung Kook - Closer to You (feat. Major Lazer) ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 94 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=WlAHNZqkeyc [youtube] WlAHNZqkeyc: Downloading webpage [youtube] WlAHNZqkeyc: Downloading tv client config [youtube] WlAHNZqkeyc: Downloading tv player API JSON [youtube] WlAHNZqkeyc: Downloading ios player API JSON [youtube] WlAHNZqkeyc: Downloading m3u8 information [info] WlAHNZqkeyc: Downloading 1 format(s): 251 [download] Destination: ./Temp/WINTER (aespa) - With You (MY DEMON OST) ｜ Piano Cover by Pianella Piano (Requested by Patron： Tom).webm [download] 100% of 4.54MiB in 00:00:00 at 5.23MiB/s [ExtractAudio] Destination: ./Temp/WINTER (aespa) - With You (MY DEMON OST) ｜ Piano Cover by Pianella Piano (Requested by Patron： Tom).wav Deleting original file ./Temp/WINTER (aespa) - With You (MY DEMON OST) ｜ Piano Cover by Pianella Piano (Requested by Patron： Tom).webm (pass -k to keep) [download] Downloading item 95 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=s_RfG4D6qOg [youtube] s_RfG4D6qOg: Downloading webpage [youtube] s_RfG4D6qOg: Downloading tv client config [youtube] s_RfG4D6qOg: Downloading tv player API JSON [youtube] s_RfG4D6qOg: Downloading ios player API JSON [youtube] s_RfG4D6qOg: Downloading m3u8 information [info] s_RfG4D6qOg: Downloading 1 format(s): 251 [download] Destination: ./Temp/TWICE - ONE SPARK ｜ Piano Cover by Pianella Piano.webm [download] 100% of 3.39MiB in 00:00:00 at 4.70MiB/s [ExtractAudio] Destination: ./Temp/TWICE - ONE SPARK ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/TWICE - ONE SPARK ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 96 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=z2_7wC69JNk [youtube] z2_7wC69JNk: Downloading webpage [youtube] z2_7wC69JNk: Downloading tv client config [youtube] z2_7wC69JNk: Downloading tv player API JSON [youtube] z2_7wC69JNk: Downloading ios player API JSON [youtube] z2_7wC69JNk: Downloading m3u8 information [info] z2_7wC69JNk: Downloading 1 format(s): 251 [download] Destination: ./Temp/LE SSERAFIM - EASY ｜ Piano Cover by Pianella Piano.webm [download] 100% of 3.05MiB in 00:00:00 at 3.99MiB/s [ExtractAudio] Destination: ./Temp/LE SSERAFIM - EASY ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/LE SSERAFIM - EASY ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 97 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=2r1fWCHUW-g [youtube] 2r1fWCHUW-g: Downloading webpage [youtube] 2r1fWCHUW-g: Downloading tv client config [youtube] 2r1fWCHUW-g: Downloading tv player API JSON [youtube] 2r1fWCHUW-g: Downloading ios player API JSON [youtube] 2r1fWCHUW-g: Downloading m3u8 information [info] 2r1fWCHUW-g: Downloading 1 format(s): 251 [download] Destination: ./Temp/(G)I-DLE - Super Lady ｜ Piano Cover by Pianella Piano.webm [download] 100% of 2.77MiB in 00:00:00 at 5.63MiB/s [ExtractAudio] Destination: ./Temp/(G)I-DLE - Super Lady ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/(G)I-DLE - Super Lady ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 98 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=whT5CELmtZE [youtube] whT5CELmtZE: Downloading webpage [youtube] whT5CELmtZE: Downloading tv client config [youtube] whT5CELmtZE: Downloading tv player API JSON [youtube] whT5CELmtZE: Downloading ios player API JSON [youtube] whT5CELmtZE: Downloading m3u8 information [info] whT5CELmtZE: Downloading 1 format(s): 251 [download] Destination: ./Temp/TWICE - I GOT YOU ｜ Piano Cover by Pianella Piano.webm [download] 100% of 3.18MiB in 00:00:00 at 4.51MiB/s [ExtractAudio] Destination: ./Temp/TWICE - I GOT YOU ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/TWICE - I GOT YOU ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 99 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=nNyoTribwLQ [youtube] nNyoTribwLQ: Downloading webpage [youtube] nNyoTribwLQ: Downloading tv client config [youtube] nNyoTribwLQ: Downloading tv player API JSON [youtube] nNyoTribwLQ: Downloading ios player API JSON [youtube] nNyoTribwLQ: Downloading m3u8 information [info] nNyoTribwLQ: Downloading 1 format(s): 251 [download] Destination: ./Temp/BABYMONSTER - Stuck In The Middle ｜ Piano Cover by Pianella Piano.webm [download] 100% of 4.47MiB in 00:00:00 at 4.59MiB/s [ExtractAudio] Destination: ./Temp/BABYMONSTER - Stuck In The Middle ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/BABYMONSTER - Stuck In The Middle ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Downloading item 100 of 100 [youtube] Extracting URL: https://www.youtube.com/watch?v=JBSAvBZL-U4 [youtube] JBSAvBZL-U4: Downloading webpage [youtube] JBSAvBZL-U4: Downloading tv client config [youtube] JBSAvBZL-U4: Downloading tv player API JSON [youtube] JBSAvBZL-U4: Downloading ios player API JSON [youtube] JBSAvBZL-U4: Downloading m3u8 information [info] JBSAvBZL-U4: Downloading 1 format(s): 251 [download] Destination: ./Temp/IU - Love wins all ｜ Piano Cover by Pianella Piano.webm [download] 100% of 4.97MiB in 00:00:00 at 7.45MiB/s [ExtractAudio] Destination: ./Temp/IU - Love wins all ｜ Piano Cover by Pianella Piano.wav Deleting original file ./Temp/IU - Love wins all ｜ Piano Cover by Pianella Piano.webm (pass -k to keep) [download] Finished downloading playlist: KPOP Piano Covers (Kpop Piano Collections, Korean Pop Songs Piano Covers) by Pianella Piano Processing ./Temp/(G)I-DLE - Klaxon ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/(G)I-DLE - Klaxon ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/(G)I-DLE - Super Lady ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/(G)I-DLE - Super Lady ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/ATEEZ - WORK ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/ATEEZ - WORK ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/BABYMONSTER - BILLIONAIRE ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/BABYMONSTER - BILLIONAIRE ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/BABYMONSTER - CLIK CLAK ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/BABYMONSTER - CLIK CLAK ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/BABYMONSTER - DRIP ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/BABYMONSTER - DRIP ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/BABYMONSTER - FOREVER ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/BABYMONSTER - FOREVER ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/BABYMONSTER - LIKE THAT ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/BABYMONSTER - LIKE THAT ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/BABYMONSTER - Love In My Heart ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/BABYMONSTER - Love In My Heart ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/BABYMONSTER - Love, Maybe ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/BABYMONSTER - Love, Maybe ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/BABYMONSTER - MONSTERS (Intro) ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/BABYMONSTER - MONSTERS (Intro) ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/BABYMONSTER - Really Like You ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/BABYMONSTER - Really Like You ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/BABYMONSTER - SHEESH ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/BABYMONSTER - SHEESH ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/BABYMONSTER - Stuck In The Middle ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/BABYMONSTER - Stuck In The Middle ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/BAEKHYUN - Pineapple Slice ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/BAEKHYUN - Pineapple Slice ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/BTS V - FRI(END)S ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/BTS V - FRI(END)S ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/ECLIPSE - Sudden Shower (OST Lovely Runner) ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/ECLIPSE - Sudden Shower (OST Lovely Runner) ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/ENHYPEN - Brought The Heat Back ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/ENHYPEN - Brought The Heat Back ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/ENHYPEN - Daydream ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/ENHYPEN - Daydream ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/ENHYPEN - Fatal Trouble ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/ENHYPEN - Fatal Trouble ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/ENHYPEN - Highway 1009 ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/ENHYPEN - Highway 1009 ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/ENHYPEN - Moonstruck ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/ENHYPEN - Moonstruck ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/ENHYPEN - No Doubt ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/ENHYPEN - No Doubt ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/ENHYPEN - XO (Only If You Say Yes) ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/ENHYPEN - XO (Only If You Say Yes) ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/Hearts2Hearts - The Chase ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/Hearts2Hearts - The Chase ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/ILLIT - Almond Chocolate ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/ILLIT - Almond Chocolate ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/ILLIT - Cherish (My Love) ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/ILLIT - Cherish (My Love) ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/ILLIT - Lucky Girl Syndrome ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/ILLIT - Lucky Girl Syndrome ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/ILLIT - Magnetic ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/ILLIT - Magnetic ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/ILLIT - Tick-Tack ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/ILLIT - Tick-Tack ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/IU - Love wins all ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/IU - Love wins all ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/IU - Never Ending Story ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/IU - Never Ending Story ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/IVE - ATTITUDE ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/IVE - ATTITUDE ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/IVE - HEYA ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/IVE - HEYA ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/IVE - REBEL HEART ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/IVE - REBEL HEART ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/IVE, David Guetta - Supernova Love ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/IVE, David Guetta - Supernova Love ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/JENNIE & Dominic Fike - Love Hangover ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/JENNIE & Dominic Fike - Love Hangover ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/JENNIE - Mantra ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/JENNIE - Mantra ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/JENNIE - ZEN ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/JENNIE - ZEN ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/JENNIE, Doechii - ExtraL ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/JENNIE, Doechii - ExtraL ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/JISOO - Hugs & Kisses ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/JISOO - Hugs & Kisses ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/JISOO - TEARS ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/JISOO - TEARS ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/JISOO - Your Love ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/JISOO - Your Love ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/JISOO - earthquake ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/JISOO - earthquake ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/Jimin - Smeraldo Garden Marching Band (feat. Loco) ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/Jimin - Smeraldo Garden Marching Band (feat. Loco) ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/Jimin - Who ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/Jimin - Who ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/Jung Kook - Closer to You (feat. Major Lazer) ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/Jung Kook - Closer to You (feat. Major Lazer) ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/Jung Kook - Never Let Go ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/Jung Kook - Never Let Go ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/Jung Kook - Please Don’t Change (feat. DJ Snake) ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/Jung Kook - Please Don’t Change (feat. DJ Snake) ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/Jung Kook - Somebody ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/Jung Kook - Somebody ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/KPOP PIANO MASHUP 2024 ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/KPOP PIANO MASHUP 2024 ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/LE SSERAFIM - CRAZY ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/LE SSERAFIM - CRAZY ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/LE SSERAFIM - EASY ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/LE SSERAFIM - EASY ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/LE SSERAFIM - Smart ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/LE SSERAFIM - Smart ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/LE SSERAFIM - Swan Song ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/LE SSERAFIM - Swan Song ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/LISA - BORN AGAIN feat. Doja Cat & RAYE ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/LISA - BORN AGAIN feat. Doja Cat & RAYE ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/LISA - Chill ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/LISA - Chill ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/LISA - MOONLIT FLOOR ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/LISA - MOONLIT FLOOR ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/LISA - NEW WOMAN feat. Rosalía ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/LISA - NEW WOMAN feat. Rosalía ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/LISA - ROCKSTAR ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/LISA - ROCKSTAR ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/Loveholics - 아픔 (Requested by Patron： Tom) ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/Loveholics - 아픔 (Requested by Patron： Tom) ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/MEOVV - MEOW ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/MEOVV - MEOW ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/MEOVV - TOXIC ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/MEOVV - TOXIC ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/NAYEON - ABCD ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/NAYEON - ABCD ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/NewJeans - Bubble Gum ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/NewJeans - Bubble Gum ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/NewJeans - How Sweet ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/NewJeans - How Sweet ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/NewJeans - Right Now ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/NewJeans - Right Now ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/NewJeans - Supernatural ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/NewJeans - Supernatural ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/ROSÉ & Bruno Mars - APT. ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/ROSÉ & Bruno Mars - APT. ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/ROSÉ - 3am ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/ROSÉ - 3am ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/ROSÉ - gameboy ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/ROSÉ - gameboy ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/ROSÉ - number one girl ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/ROSÉ - number one girl ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/ROSÉ - stay a little longer ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/ROSÉ - stay a little longer ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/ROSÉ - too bad for us ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/ROSÉ - too bad for us ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/ROSÉ - toxic till the end ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/ROSÉ - toxic till the end ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/ROSÉ - two years ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/ROSÉ - two years ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/SEVENTEEN - Eyes on you ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/SEVENTEEN - Eyes on you ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/SEVENTEEN - LOVE, MONEY, FAME (feat. DJ Khaled) ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/SEVENTEEN - LOVE, MONEY, FAME (feat. DJ Khaled) ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/SEVENTEEN - MAESTRO ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/SEVENTEEN - MAESTRO ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/SEVENTEEN - THUNDER ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/SEVENTEEN - THUNDER ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/SQUID GAME 2 - Mingle Game Song “Round and Round” ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/SQUID GAME 2 - Mingle Game Song “Round and Round” ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/Stray Kids - Chk Chk Boom ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/Stray Kids - Chk Chk Boom ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/Stray Kids - Lose My Breath (Feat. Charlie Puth) ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/Stray Kids - Lose My Breath (Feat. Charlie Puth) ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/Stray Kids - Walkin On Water ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/Stray Kids - Walkin On Water ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/Stray Kids - 또 다시 밤 twilight ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/Stray Kids - 또 다시 밤 twilight ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/TWICE - I GOT YOU ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/TWICE - I GOT YOU ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/TWICE - ONE SPARK ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/TWICE - ONE SPARK ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/TWICE - Strategy (feat. Megan Thee Stallion) ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/TWICE - Strategy (feat. Megan Thee Stallion) ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/TXT - Deja Vu ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/TXT - Deja Vu ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/TXT - Heaven ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/TXT - Heaven ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/TXT - Over The Moon ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/TXT - Over The Moon ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/V - Winter Ahead (with PARK HYO SHIN) ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/V - Winter Ahead (with PARK HYO SHIN) ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/WINTER (aespa) - With You (MY DEMON OST) ｜ Piano Cover by Pianella Piano (Requested by Patron： Tom).wav... Saved MIDI to ./Temp/WINTER (aespa) - With You (MY DEMON OST) ｜ Piano Cover by Pianella Piano (Requested by Patron： Tom).mid Processing ./Temp/ZICO - SPOT! (feat. JENNIE) ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/ZICO - SPOT! (feat. JENNIE) ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/[Full Album] JISOO - AMORTAGE (1 Hour Playlist) ｜ earthquake, Your Love, TEARS, Hugs & Kisses.wav... Saved MIDI to ./Temp/[Full Album] JISOO - AMORTAGE (1 Hour Playlist) ｜ earthquake, Your Love, TEARS, Hugs & Kisses.mid Processing ./Temp/[Full Album] Jung Kook - GOLDEN ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/[Full Album] Jung Kook - GOLDEN ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/aespa - Armageddon ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/aespa - Armageddon ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/j-hope & Jung Kook - i wonder… ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/j-hope & Jung Kook - i wonder… ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/진 (Jin) - I'll Be There ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/진 (Jin) - I'll Be There ｜ Piano Cover by Pianella Piano.mid Processing ./Temp/진 (Jin) - Running Wild ｜ Piano Cover by Pianella Piano.wav... Saved MIDI to ./Temp/진 (Jin) - Running Wild ｜ Piano Cover by Pianella Piano.mid
Moved mid files to the yt_Data folder for analysis
Assignment 2¶
Unconditioned, symbolic generation¶
Following code is only ran once
Prepare the Data¶
/original_Data (original Midi), /yt_Data (yt Midi), /both_Data (both Midi)
In [4]:
def load_midi_files(directory='./Data/original_Data', max_files=150, fs=25, min_length=50):
"""Load MIDI files with better error handling and consistent lengths"""
if not os.path.exists(directory):
print(f"Directory {directory} not found. Creating sample data...")
return create_sample_data(max_files, fs, min_length)
midi_files = [f for f in os.listdir(directory) if f.endswith('.mid')][:max_files]
if not midi_files:
print("No MIDI files found. Creating sample data...")
return create_sample_data(max_files, fs, min_length)
piano_rolls = []
midi_data = []
failed_files = []
for midi_file in midi_files:
try:
file_path = os.path.join(directory, midi_file)
pm = pretty_midi.PrettyMIDI(file_path)
piano_roll = pm.get_piano_roll(fs=fs)
# Verify piano roll shape and minimum length
if piano_roll.shape[0] != 128:
print(f"Unexpected shape {piano_roll.shape} for {midi_file}")
continue
if piano_roll.shape[1] < min_length:
print(f"Too short ({piano_roll.shape[1]} steps) for {midi_file}")
continue
piano_roll = (piano_roll > 0).astype(float).T # Transpose to (time, 128)
piano_rolls.append(piano_roll)
midi_data.append(pm)
except Exception as e:
failed_files.append((midi_file, str(e)))
continue
if failed_files:
print(f"Failed to load {len(failed_files)} files:")
for f, err in failed_files[:5]:
print(f"- {f}: {err}")
if not piano_rolls:
print("No valid MIDI files loaded. Creating sample data...")
return create_sample_data(max_files, fs, min_length)
return piano_rolls, midi_data
def create_sample_data(num_samples=50, fs=25, min_length=200):
"""Create sample piano roll data for testing"""
print("Creating synthetic piano roll data for testing...")
piano_rolls = []
midi_data = []
for i in range(num_samples):
# Create random piano roll with some structure
length = np.random.randint(min_length, min_length * 3)
piano_roll = np.zeros((length, 128))
# Add some random notes with temporal structure
for _ in range(np.random.randint(5, 20)):
note = np.random.randint(21, 108) # Piano range
start = np.random.randint(0, length - 10)
duration = np.random.randint(2, 15)
end = min(start + duration, length)
piano_roll[start:end, note] = 1.0
piano_rolls.append(piano_roll)
# Create corresponding MIDI object
pm = pretty_midi.PrettyMIDI()
instrument = pretty_midi.Instrument(program=0)
for t in range(length):
for note in range(128):
if piano_roll[t, note] > 0:
# Check if this is the start of a note
if t == 0 or piano_roll[t-1, note] == 0:
# Find the end of this note
end_t = t
while end_t < length and piano_roll[end_t, note] > 0:
end_t += 1
pm_note = pretty_midi.Note(
velocity=80,
pitch=note,
start=t / fs,
end=end_t / fs
)
instrument.notes.append(pm_note)
pm.instruments.append(instrument)
midi_data.append(pm)
return piano_rolls, midi_data
# Load the data
piano_rolls, midi_objects = load_midi_files()
print(f"Loaded {len(piano_rolls)} piano rolls")
if not piano_rolls:
raise ValueError("No data loaded. Please check your data directory or file paths.")
# Create sequences of consistent length for training
sequence_length = 128 # Use shorter sequences for memory efficiency
def create_sequences(piano_rolls, seq_length):
"""Create training sequences from piano rolls"""
sequences = []
targets = []
for piano_roll in piano_rolls:
if piano_roll.shape[0] < seq_length + 1:
continue
for i in range(0, piano_roll.shape[0] - seq_length, seq_length // 2): # Overlapping sequences
if i + seq_length + 1 >= piano_roll.shape[0]:
break
sequence = piano_roll[i:i + seq_length]
target = piano_roll[i + 1:i + seq_length + 1] # Next step prediction
sequences.append(sequence)
targets.append(target)
return np.array(sequences), np.array(targets)
X, y = create_sequences(piano_rolls, sequence_length)
print(f"Created {X.shape[0]} sequences of shape {X.shape[1:]}")
# Split into train and validation
X_train, X_val, y_train, y_val = train_test_split(X, y, test_size=0.2, random_state=42)
Loaded 58 piano rolls Created 1989 sequences of shape (128, 128)
Utilize a LSTM model¶
In [5]:
def build_lstm_model(input_shape, units=256, dropout=0.3):
"""Build an LSTM model for MIDI generation"""
model = tf.keras.Sequential([
layers.LSTM(units, return_sequences=True, input_shape=input_shape),
layers.Dropout(dropout),
layers.LSTM(units, return_sequences=True),
layers.Dropout(dropout),
layers.LSTM(units, return_sequences=True),
layers.Dropout(dropout),
layers.Dense(128, activation='sigmoid') # 128 notes
])
return model
model = build_lstm_model(input_shape=(sequence_length, 128))
model.compile(
optimizer=tf.keras.optimizers.Adam(learning_rate=0.001),
loss='binary_crossentropy',
metrics=['accuracy']
)
model.summary()
/Users/study/miniconda3/envs/musicgen/lib/python3.10/site-packages/keras/src/layers/rnn/rnn.py:199: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead. super().__init__(**kwargs)
Model: "sequential"
┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓ ┃ Layer (type) ┃ Output Shape ┃ Param # ┃ ┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩ │ lstm (LSTM) │ (None, 128, 256) │ 394,240 │ ├─────────────────────────────────┼────────────────────────┼───────────────┤ │ dropout (Dropout) │ (None, 128, 256) │ 0 │ ├─────────────────────────────────┼────────────────────────┼───────────────┤ │ lstm_1 (LSTM) │ (None, 128, 256) │ 525,312 │ ├─────────────────────────────────┼────────────────────────┼───────────────┤ │ dropout_1 (Dropout) │ (None, 128, 256) │ 0 │ ├─────────────────────────────────┼────────────────────────┼───────────────┤ │ lstm_2 (LSTM) │ (None, 128, 256) │ 525,312 │ ├─────────────────────────────────┼────────────────────────┼───────────────┤ │ dropout_2 (Dropout) │ (None, 128, 256) │ 0 │ ├─────────────────────────────────┼────────────────────────┼───────────────┤ │ dense (Dense) │ (None, 128, 128) │ 32,896 │ └─────────────────────────────────┴────────────────────────┴───────────────┘
Total params: 1,477,760 (5.64 MB)
Trainable params: 1,477,760 (5.64 MB)
Non-trainable params: 0 (0.00 B)
Utilize a Bidirectional LSTM Model (depricated)¶
In [6]:
def build_biconditional_lstm_model(input_shape, units=256, dropout=0.3):
"""Build an LSTM model for MIDI generation"""
model = tf.keras.Sequential([
layers.Bidirectional(layers.LSTM(units, return_sequences=True, input_shape=input_shape)),
layers.Dropout(dropout),
layers.Bidirectional(layers.LSTM(units, return_sequences=True)),
layers.Dropout(dropout),
layers.Bidirectional(layers.LSTM(units, return_sequences=True)),
layers.Dropout(dropout),
layers.Dense(128, activation='sigmoid') # 128 notes
])
return model
model = build_biconditional_lstm_model(input_shape=(sequence_length, 128))
model.compile(
optimizer=tf.keras.optimizers.Adam(learning_rate=0.001),
loss='binary_crossentropy',
metrics=['accuracy']
)
model.summary()
Model: "sequential_1"
┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓ ┃ Layer (type) ┃ Output Shape ┃ Param # ┃ ┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩ │ bidirectional (Bidirectional) │ ? │ 0 (unbuilt) │ ├─────────────────────────────────┼────────────────────────┼───────────────┤ │ dropout_3 (Dropout) │ ? │ 0 │ ├─────────────────────────────────┼────────────────────────┼───────────────┤ │ bidirectional_1 (Bidirectional) │ ? │ 0 (unbuilt) │ ├─────────────────────────────────┼────────────────────────┼───────────────┤ │ dropout_4 (Dropout) │ ? │ 0 │ ├─────────────────────────────────┼────────────────────────┼───────────────┤ │ bidirectional_2 (Bidirectional) │ ? │ 0 (unbuilt) │ ├─────────────────────────────────┼────────────────────────┼───────────────┤ │ dropout_5 (Dropout) │ ? │ 0 │ ├─────────────────────────────────┼────────────────────────┼───────────────┤ │ dense_1 (Dense) │ ? │ 0 (unbuilt) │ └─────────────────────────────────┴────────────────────────┴───────────────┘
Total params: 0 (0.00 B)
Trainable params: 0 (0.00 B)
Non-trainable params: 0 (0.00 B)
Train the model¶
In [7]:
print("Starting training...")
callbacks = [
tf.keras.callbacks.EarlyStopping(patience=10, restore_best_weights=True),
tf.keras.callbacks.ReduceLROnPlateau(factor=0.5, patience=5, min_lr=1e-6)
]
history = model.fit(
X_train, y_train,
validation_data=(X_val, y_val),
epochs=50,
batch_size=32,
callbacks=callbacks,
verbose=1
)
Starting training... Epoch 1/50 50/50 ━━━━━━━━━━━━━━━━━━━━ 31s 574ms/step - accuracy: 0.0174 - loss: 0.2562 - val_accuracy: 0.0083 - val_loss: 0.0845 - learning_rate: 0.0010 Epoch 2/50 50/50 ━━━━━━━━━━━━━━━━━━━━ 27s 541ms/step - accuracy: 0.0114 - loss: 0.0849 - val_accuracy: 0.0083 - val_loss: 0.0829 - learning_rate: 0.0010 Epoch 3/50 50/50 ━━━━━━━━━━━━━━━━━━━━ 33s 671ms/step - accuracy: 0.0112 - loss: 0.0862 - val_accuracy: 0.0083 - val_loss: 0.0833 - learning_rate: 0.0010 Epoch 4/50 50/50 ━━━━━━━━━━━━━━━━━━━━ 34s 683ms/step - accuracy: 0.0118 - loss: 0.0849 - val_accuracy: 0.0084 - val_loss: 0.0827 - learning_rate: 0.0010 Epoch 5/50 50/50 ━━━━━━━━━━━━━━━━━━━━ 34s 671ms/step - accuracy: 0.0117 - loss: 0.0847 - val_accuracy: 0.0339 - val_loss: 0.0840 - learning_rate: 0.0010 Epoch 6/50 50/50 ━━━━━━━━━━━━━━━━━━━━ 34s 676ms/step - accuracy: 0.0110 - loss: 0.0853 - val_accuracy: 0.0081 - val_loss: 0.0830 - learning_rate: 0.0010 Epoch 7/50 50/50 ━━━━━━━━━━━━━━━━━━━━ 33s 665ms/step - accuracy: 0.0107 - loss: 0.0832 - val_accuracy: 0.0083 - val_loss: 0.0828 - learning_rate: 0.0010 Epoch 8/50 50/50 ━━━━━━━━━━━━━━━━━━━━ 33s 663ms/step - accuracy: 0.0112 - loss: 0.0830 - val_accuracy: 0.0074 - val_loss: 0.0761 - learning_rate: 0.0010 Epoch 9/50 50/50 ━━━━━━━━━━━━━━━━━━━━ 34s 683ms/step - accuracy: 0.0126 - loss: 0.0738 - val_accuracy: 0.0103 - val_loss: 0.0679 - learning_rate: 0.0010 Epoch 10/50 50/50 ━━━━━━━━━━━━━━━━━━━━ 33s 655ms/step - accuracy: 0.0112 - loss: 0.0648 - val_accuracy: 0.0104 - val_loss: 0.0660 - learning_rate: 0.0010 Epoch 11/50 50/50 ━━━━━━━━━━━━━━━━━━━━ 34s 674ms/step - accuracy: 0.0148 - loss: 0.0669 - val_accuracy: 0.0082 - val_loss: 0.0631 - learning_rate: 0.0010 Epoch 12/50 50/50 ━━━━━━━━━━━━━━━━━━━━ 34s 683ms/step - accuracy: 0.0125 - loss: 0.0628 - val_accuracy: 0.0146 - val_loss: 0.0595 - learning_rate: 0.0010 Epoch 13/50 50/50 ━━━━━━━━━━━━━━━━━━━━ 33s 666ms/step - accuracy: 0.0215 - loss: 0.0605 - val_accuracy: 0.0205 - val_loss: 0.0554 - learning_rate: 0.0010 Epoch 14/50 50/50 ━━━━━━━━━━━━━━━━━━━━ 35s 695ms/step - accuracy: 0.0242 - loss: 0.0555 - val_accuracy: 0.0231 - val_loss: 0.0509 - learning_rate: 0.0010 Epoch 15/50 50/50 ━━━━━━━━━━━━━━━━━━━━ 35s 690ms/step - accuracy: 0.0320 - loss: 0.0500 - val_accuracy: 0.0516 - val_loss: 0.0438 - learning_rate: 0.0010 Epoch 16/50 50/50 ━━━━━━━━━━━━━━━━━━━━ 34s 682ms/step - accuracy: 0.0566 - loss: 0.0414 - val_accuracy: 0.0558 - val_loss: 0.0390 - learning_rate: 0.0010 Epoch 17/50 50/50 ━━━━━━━━━━━━━━━━━━━━ 34s 679ms/step - accuracy: 0.0602 - loss: 0.0397 - val_accuracy: 0.0643 - val_loss: 0.0353 - learning_rate: 0.0010 Epoch 18/50 50/50 ━━━━━━━━━━━━━━━━━━━━ 34s 673ms/step - accuracy: 0.0713 - loss: 0.0372 - val_accuracy: 0.0789 - val_loss: 0.0316 - learning_rate: 0.0010 Epoch 19/50 50/50 ━━━━━━━━━━━━━━━━━━━━ 33s 664ms/step - accuracy: 0.0853 - loss: 0.0313 - val_accuracy: 0.0962 - val_loss: 0.0272 - learning_rate: 0.0010 Epoch 20/50 50/50 ━━━━━━━━━━━━━━━━━━━━ 34s 676ms/step - accuracy: 0.0944 - loss: 0.0280 - val_accuracy: 0.0996 - val_loss: 0.0238 - learning_rate: 0.0010 Epoch 21/50 50/50 ━━━━━━━━━━━━━━━━━━━━ 33s 661ms/step - accuracy: 0.1005 - loss: 0.0240 - val_accuracy: 0.1063 - val_loss: 0.0210 - learning_rate: 0.0010 Epoch 22/50 50/50 ━━━━━━━━━━━━━━━━━━━━ 34s 677ms/step - accuracy: 0.0981 - loss: 0.0217 - val_accuracy: 0.0941 - val_loss: 0.0190 - learning_rate: 0.0010 Epoch 23/50 50/50 ━━━━━━━━━━━━━━━━━━━━ 34s 670ms/step - accuracy: 0.1076 - loss: 0.0196 - val_accuracy: 0.1052 - val_loss: 0.0167 - learning_rate: 0.0010 Epoch 24/50 50/50 ━━━━━━━━━━━━━━━━━━━━ 34s 684ms/step - accuracy: 0.1073 - loss: 0.0174 - val_accuracy: 0.1120 - val_loss: 0.0152 - learning_rate: 0.0010 Epoch 25/50 50/50 ━━━━━━━━━━━━━━━━━━━━ 35s 694ms/step - accuracy: 0.1152 - loss: 0.0157 - val_accuracy: 0.1106 - val_loss: 0.0138 - learning_rate: 0.0010 Epoch 26/50 50/50 ━━━━━━━━━━━━━━━━━━━━ 34s 672ms/step - accuracy: 0.1175 - loss: 0.0143 - val_accuracy: 0.1040 - val_loss: 0.0122 - learning_rate: 0.0010 Epoch 27/50 50/50 ━━━━━━━━━━━━━━━━━━━━ 35s 694ms/step - accuracy: 0.1185 - loss: 0.0129 - val_accuracy: 0.1102 - val_loss: 0.0122 - learning_rate: 0.0010 Epoch 28/50 50/50 ━━━━━━━━━━━━━━━━━━━━ 36s 718ms/step - accuracy: 0.1119 - loss: 0.0144 - val_accuracy: 0.1114 - val_loss: 0.0106 - learning_rate: 0.0010 Epoch 29/50 50/50 ━━━━━━━━━━━━━━━━━━━━ 35s 695ms/step - accuracy: 0.1236 - loss: 0.0118 - val_accuracy: 0.1165 - val_loss: 0.0099 - learning_rate: 0.0010 Epoch 30/50 50/50 ━━━━━━━━━━━━━━━━━━━━ 34s 681ms/step - accuracy: 0.1298 - loss: 0.0102 - val_accuracy: 0.1212 - val_loss: 0.0087 - learning_rate: 0.0010 Epoch 31/50 50/50 ━━━━━━━━━━━━━━━━━━━━ 34s 684ms/step - accuracy: 0.1234 - loss: 0.0093 - val_accuracy: 0.1145 - val_loss: 0.0080 - learning_rate: 0.0010 Epoch 32/50 50/50 ━━━━━━━━━━━━━━━━━━━━ 36s 712ms/step - accuracy: 0.1188 - loss: 0.0089 - val_accuracy: 0.1170 - val_loss: 0.0073 - learning_rate: 0.0010 Epoch 33/50 50/50 ━━━━━━━━━━━━━━━━━━━━ 35s 705ms/step - accuracy: 0.1280 - loss: 0.0082 - val_accuracy: 0.1168 - val_loss: 0.0068 - learning_rate: 0.0010 Epoch 34/50 50/50 ━━━━━━━━━━━━━━━━━━━━ 35s 694ms/step - accuracy: 0.1365 - loss: 0.0077 - val_accuracy: 0.1225 - val_loss: 0.0063 - learning_rate: 0.0010 Epoch 35/50 50/50 ━━━━━━━━━━━━━━━━━━━━ 35s 702ms/step - accuracy: 0.1196 - loss: 0.0072 - val_accuracy: 0.1175 - val_loss: 0.0058 - learning_rate: 0.0010 Epoch 36/50 50/50 ━━━━━━━━━━━━━━━━━━━━ 35s 694ms/step - accuracy: 0.1357 - loss: 0.0068 - val_accuracy: 0.1170 - val_loss: 0.0054 - learning_rate: 0.0010 Epoch 37/50 50/50 ━━━━━━━━━━━━━━━━━━━━ 34s 682ms/step - accuracy: 0.1268 - loss: 0.0065 - val_accuracy: 0.1139 - val_loss: 0.0051 - learning_rate: 0.0010 Epoch 38/50 50/50 ━━━━━━━━━━━━━━━━━━━━ 35s 706ms/step - accuracy: 0.1150 - loss: 0.0061 - val_accuracy: 0.1211 - val_loss: 0.0048 - learning_rate: 0.0010 Epoch 39/50 50/50 ━━━━━━━━━━━━━━━━━━━━ 36s 711ms/step - accuracy: 0.1331 - loss: 0.0054 - val_accuracy: 0.1256 - val_loss: 0.0045 - learning_rate: 0.0010 Epoch 40/50 50/50 ━━━━━━━━━━━━━━━━━━━━ 34s 677ms/step - accuracy: 0.1344 - loss: 0.0054 - val_accuracy: 0.1094 - val_loss: 0.0043 - learning_rate: 0.0010 Epoch 41/50 50/50 ━━━━━━━━━━━━━━━━━━━━ 34s 685ms/step - accuracy: 0.1262 - loss: 0.0049 - val_accuracy: 0.1185 - val_loss: 0.0040 - learning_rate: 0.0010 Epoch 42/50 50/50 ━━━━━━━━━━━━━━━━━━━━ 34s 683ms/step - accuracy: 0.1296 - loss: 0.0050 - val_accuracy: 0.1302 - val_loss: 0.0037 - learning_rate: 0.0010 Epoch 43/50 50/50 ━━━━━━━━━━━━━━━━━━━━ 34s 675ms/step - accuracy: 0.1291 - loss: 0.0046 - val_accuracy: 0.1226 - val_loss: 0.0035 - learning_rate: 0.0010 Epoch 44/50 50/50 ━━━━━━━━━━━━━━━━━━━━ 34s 683ms/step - accuracy: 0.1344 - loss: 0.0042 - val_accuracy: 0.1224 - val_loss: 0.0033 - learning_rate: 0.0010 Epoch 45/50 50/50 ━━━━━━━━━━━━━━━━━━━━ 34s 672ms/step - accuracy: 0.1410 - loss: 0.0042 - val_accuracy: 0.1304 - val_loss: 0.0032 - learning_rate: 0.0010 Epoch 46/50 50/50 ━━━━━━━━━━━━━━━━━━━━ 35s 701ms/step - accuracy: 0.1474 - loss: 0.0038 - val_accuracy: 0.1257 - val_loss: 0.0030 - learning_rate: 0.0010 Epoch 47/50 50/50 ━━━━━━━━━━━━━━━━━━━━ 35s 697ms/step - accuracy: 0.1354 - loss: 0.0038 - val_accuracy: 0.1166 - val_loss: 0.0028 - learning_rate: 0.0010 Epoch 48/50 50/50 ━━━━━━━━━━━━━━━━━━━━ 36s 719ms/step - accuracy: 0.1345 - loss: 0.0036 - val_accuracy: 0.1255 - val_loss: 0.0027 - learning_rate: 0.0010 Epoch 49/50 50/50 ━━━━━━━━━━━━━━━━━━━━ 33s 668ms/step - accuracy: 0.1348 - loss: 0.0033 - val_accuracy: 0.1209 - val_loss: 0.0025 - learning_rate: 0.0010 Epoch 50/50 50/50 ━━━━━━━━━━━━━━━━━━━━ 35s 696ms/step - accuracy: 0.1343 - loss: 0.0033 - val_accuracy: 0.1233 - val_loss: 0.0024 - learning_rate: 0.0010
In [8]:
print("Saving trained model...")
model.save('uncon_model_58.keras') # uncon_model_150 (original + yt files), uncon_model_58 (original files)
print("Model saved as uncon_model_58.keras")
Saving trained model... Model saved as uncon_model_58.keras
Generate the music¶
In [9]:
def generate_music(model, seed_sequence=None, length=200, temperature=0.8):
"""Generate music using the trained model"""
if seed_sequence is None:
# Use a random sequence from training data as seed
seed_idx = np.random.randint(0, X_train.shape[0])
seed_sequence = X_train[seed_idx:seed_idx+1] # Shape: (1, seq_len, 128)
else:
seed_sequence = seed_sequence.reshape(1, -1, 128)
generated = []
current_sequence = seed_sequence.copy()
print(f"Generating {length} time steps...")
for i in tqdm(range(length)):
# Predict next step
prediction = model.predict(current_sequence, verbose=0)[0, -1, :] # Last time step
# Apply temperature to control randomness
if temperature > 0:
prediction = np.log(np.maximum(prediction, 1e-8)) / temperature
prediction = np.exp(prediction) / np.sum(np.exp(prediction))
# Sample from the prediction
next_notes = np.random.binomial(1, prediction).astype(float)
generated.append(next_notes)
# Update sequence for next prediction
next_step = next_notes.reshape(1, 1, 128)
current_sequence = np.concatenate([current_sequence[:, 1:, :], next_step], axis=1)
return np.array(generated)
Save the Generated Music as .mid¶
Load trained model
In [10]:
model = load_model('uncon_model_150.keras') # uncon_model_150 (original + yt files), uncon_model_58 (original files)
In [11]:
print("Generating new music...")
generated_sequence = generate_music(model, length=300, temperature=0.8)
def piano_roll_to_midi(piano_roll, fs=25, program=0):
"""Convert piano roll to PrettyMIDI object"""
pm = pretty_midi.PrettyMIDI()
instrument = pretty_midi.Instrument(program=program)
# Track active notes
active_notes = {}
for t, frame in enumerate(piano_roll):
current_time = t / fs
# Check each note
for note_num in range(128):
is_active = frame[note_num] > 0.5
if is_active and note_num not in active_notes:
# Note on
active_notes[note_num] = current_time
elif not is_active and note_num in active_notes:
# Note off
start_time = active_notes[note_num]
note = pretty_midi.Note(
velocity=80,
pitch=note_num,
start=start_time,
end=current_time
)
instrument.notes.append(note)
del active_notes[note_num]
# Close any remaining active notes
final_time = len(piano_roll) / fs
for note_num, start_time in active_notes.items():
note = pretty_midi.Note(
velocity=80,
pitch=note_num,
start=start_time,
end=final_time
)
instrument.notes.append(note)
pm.instruments.append(instrument)
return pm
# Create MIDI file
generated_midi = piano_roll_to_midi(generated_sequence, fs=25)
generated_midi.write('generated_music.mid')
print("Generated music saved as 'generated_music.mid'")
Generating new music... Generating 300 time steps...
100%|██████████| 300/300 [00:15<00:00, 19.17it/s]
Generated music saved as 'generated_music.mid'
Renamed generated midis so there are different samples
Listen to Greatness¶
In [12]:
def plot_piano_roll(piano_roll, title="Piano Roll", max_time=None):
"""Visualize piano roll"""
if max_time:
piano_roll = piano_roll[:max_time]
plt.figure(figsize=(15, 8))
plt.imshow(piano_roll.T, aspect='auto', origin='lower', cmap='Blues')
plt.colorbar(label='Note Velocity')
plt.xlabel('Time Steps')
plt.ylabel('MIDI Note Number')
plt.title(title)
# Add note labels for reference
note_names = ['C', 'C#', 'D', 'D#', 'E', 'F', 'F#', 'G', 'G#', 'A', 'A#', 'B']
octave_ticks = [12 * i for i in range(11)] # C0, C1, C2, etc.
octave_labels = [f'C{i}' for i in range(11)]
plt.yticks(octave_ticks, octave_labels)
plt.tight_layout()
plt.show()
# Plot training history
plt.figure(figsize=(12, 4))
plt.subplot(1, 2, 1)
plt.plot(history.history['loss'], label='Training Loss')
plt.plot(history.history['val_loss'], label='Validation Loss')
plt.xlabel('Epoch')
plt.ylabel('Loss')
plt.title('Training History')
plt.legend()
plt.subplot(1, 2, 2)
plt.plot(history.history['accuracy'], label='Training Accuracy')
plt.plot(history.history['val_accuracy'], label='Validation Accuracy')
plt.xlabel('Epoch')
plt.ylabel('Accuracy')
plt.title('Training Accuracy')
plt.legend()
plt.tight_layout()
plt.show()
# Visualize original and generated music
print("Sample from training data:")
plot_piano_roll(piano_rolls[20][:200], "Original Piano Roll Sample", max_time=300)
print("\nGenerated music:")
plot_piano_roll(generated_sequence, "Generated Piano Roll", max_time=300)
Sample from training data:
Generated music:
In [13]:
# Audio playback function with multiple fallback options
def play_midi_audio(midi_object, sample_rate=44100):
"""Convert MIDI to audio with multiple fallback methods"""
try:
audio_data = midi_object.synthesize(fs=sample_rate)
if len(audio_data) > 0:
print("✓ Using pretty_midi built-in synthesizer")
return ipd.Audio(audio_data, rate=sample_rate)
except Exception as e:
print(f"Built-in synthesizer failed: {e}")
# Try to play the generated music
print("\nAttempting to play generated music...")
audio = play_midi_audio(generated_midi)
if audio:
display(audio)
else:
print("Error playing audio")
print(f"\nGeneration complete! Check 'generated_music.mid' for the output.")
print(f"Model type: {model.__class__.__name__}")
print(f"Generated sequence length: {len(generated_sequence)} time steps")
print(f"Total notes played: {np.sum(generated_sequence > 0.5)}")
Attempting to play generated music... ✓ Using pretty_midi built-in synthesizer
Generation complete! Check 'generated_music.mid' for the output. Model type: Sequential Generated sequence length: 300 time steps Total notes played: 309
Conditional, Symbolic Generation¶
Related Work in Conditioned Music Generation:
Google Magenta Project
- Performance-RNN: Generates expressive timing and dynamics
- Improv-RNN: Real-time melodic improvisation over chord changes
- Music Transformer: Attention-based generation with long-term structure
Academic Research
- BachProp (Colombo et al., 2018): Automatic music generation with LSTM
- DeepBach (Hadjeres et al., 2017): Bach chorales generation
- Coconet (Huang et al., 2017): Counterpoint generation with convolutional models
Industry Applications
- AIVA: AI composer for soundtracks
- Amper Music: Automated music creation platform
- Jukedeck: AI music generation for content creators
How This Work Differs:
- Focus on explicit harmonic conditioning rather than style transfer
- Incorporates music theory constraints directly into the loss function
- Uses attention mechanisms to capture chord-melody relationships
- Evaluates both objective (harmonic consistency) and subjective metrics
- Provides interpretable attention weights for musicological analysis
Key Innovations:
- Hybrid approach combining neural generation with rule-based constraints
- Multi-scale evaluation framework
- Real-time generation capability for interactive applications
In [72]:
config = {
'batch_size': 32,
'num_epochs': 100,
'learning_rate': 1e-4,
'hidden_size': 512,
'num_layers': 3,
'dropout': 0.3,
'sequence_length': 128,
'fs': 25,
'max_files': 60,
'num_attention_heads': 8,
'grad_clip': 1.0,
'min_notes_for_chord': 3,
'num_pitches': 128
}
In [73]:
# ==================== DATA LOADING ====================
def load_midi_files(directory='./Data/original_data', max_files=150):
"""Load MIDI files with improved error handling"""
if not os.path.exists(directory):
raise FileNotFoundError(f"Directory {directory} not found")
midi_files = [f for f in os.listdir(directory) if f.endswith('.mid')][:max_files]
piano_rolls = []
midi_objects = []
failed_files = []
for midi_file in tqdm(midi_files, desc="Loading MIDI files"):
try:
file_path = os.path.join(directory, midi_file)
pm = pretty_midi.PrettyMIDI(file_path)
piano_roll = pm.get_piano_roll(fs=config['fs'])
if piano_roll.shape[1] < config['sequence_length'] + 1:
continue
piano_roll = (piano_roll.T > 0).astype(float)
piano_rolls.append(piano_roll)
midi_objects.append(pm)
except Exception as e:
failed_files.append((midi_file, str(e)))
continue
if failed_files:
print(f"Failed to load {len(failed_files)} files")
return piano_rolls, midi_objects
In [74]:
# ==================== CHORD PROCESSING ====================
def create_chord_representation(pm, length, fs):
"""Enhanced chord representation with root and quality"""
chroma = np.zeros((length, 12))
bass = np.zeros((length, 12))
quality = np.zeros((length, 4)) # Major, minor, diminished, augmented
for instrument in pm.instruments:
for note in instrument.notes:
start = int(note.start * fs)
end = int(note.end * fs)
if end - start > 2: # Longer notes are likely chord tones
pitch_class = note.pitch % 12
chroma[start:end, pitch_class] += 1
# Bass note detection
if start == 0 or bass[start-1].sum() == 0:
bass[start:end, pitch_class] = 1
# Convert to chord features
chord_roll = np.zeros((length, 128))
for t in range(length):
if chroma[t].sum() >= config['min_notes_for_chord']:
# Get chord root (most frequent note class)
root = np.argmax(chroma[t])
chord_roll[t, root] = 1
# Get bass note
bass_note = np.argmax(bass[t]) if bass[t].sum() > 0 else root
chord_roll[t, bass_note + 12] = 1 # Store bass note offset
# Simple quality detection
if chroma[t, (root+4)%12] > 0 and chroma[t, (root+7)%12] > 0:
if chroma[t, (root+3)%12] > 0: # Minor third
chord_roll[t, 24:28] = [1, 0, 0, 0] # Minor
else: # Major third
chord_roll[t, 24:28] = [0, 1, 0, 0] # Major
elif chroma[t, (root+3)%12] > 0 and chroma[t, (root+6)%12] > 0:
chord_roll[t, 24:28] = [0, 0, 1, 0] # Diminished
elif chroma[t, (root+4)%12] > 0 and chroma[t, (root+8)%12] > 0:
chord_roll[t, 24:28] = [0, 0, 0, 1] # Augmented
return chord_roll
In [75]:
class PositionalEncoding(nn.Module):
"""Sinusoidal positional encoding, as in “Attention Is All You Need”."""
def __init__(self, hidden_size: int, max_len: int):
super().__init__()
# Create a buffer of shape [max_len, hidden_size]
pe = torch.zeros((max_len, hidden_size), dtype=torch.float32)
position = torch.arange(0, max_len, dtype=torch.float32).unsqueeze(1) # [max_len, 1]
div_term = torch.exp(
torch.arange(0, hidden_size, 2, dtype=torch.float32)
* -(math.log(10000.0) / hidden_size)
) # [hidden_size/2]
# Even indices: sin; odd indices: cos
pe[:, 0::2] = torch.sin(position * div_term)
pe[:, 1::2] = torch.cos(position * div_term)
# Register as buffer so it’s moved to GPU/CPU with the model automatically
self.register_buffer("pe", pe.unsqueeze(0)) # [1, max_len, hidden_size]
def forward(self, x: torch.Tensor) -> torch.Tensor:
"""
Args:
x: Tensor of shape [batch_size, seq_len, hidden_size]
Returns:
x + positional encoding (same shape)
"""
seq_len = x.size(1)
return x + self.pe[:, :seq_len, :]
In [85]:
class ImprovedChordConditionedMelodyGenerator(nn.Module):
def __init__(self, config):
super().__init__()
self.hidden_size = config['hidden_size']
self.vocab_size = config['num_pitches'] # 128
self.seq_len = config['sequence_length']
# 1. Frame‑wise projection instead of embedding
self.pitch_proj = nn.Linear(self.vocab_size, self.hidden_size)
# 2. Positional encoding
self.pos_enc = PositionalEncoding(self.hidden_size, max_len=self.seq_len)
# 3. Transformer blocks (unchanged)
nhead = config['num_attention_heads']
dropout = config['dropout']
enc_layer = nn.TransformerEncoderLayer(
d_model=self.hidden_size,
nhead=nhead,
dim_feedforward=self.hidden_size * 4,
dropout=dropout,
batch_first=True
)
self.chord_encoder = nn.TransformerEncoder(enc_layer, num_layers=1)
self.melody_encoder = nn.TransformerEncoder(enc_layer, num_layers=1)
self.cross_attn = nn.MultiheadAttention(self.hidden_size, nhead, dropout=dropout, batch_first=True)
self.cross_norm = nn.LayerNorm(self.hidden_size)
dec_layer = nn.TransformerDecoderLayer(
d_model=self.hidden_size,
nhead=nhead,
dim_feedforward=self.hidden_size * 4,
dropout=dropout,
batch_first=True
)
self.decoder = nn.TransformerDecoder(dec_layer, num_layers=config['num_layers'])
self.output_head = nn.Linear(self.hidden_size, self.vocab_size)
def forward(self, melody_seq, chord_seq):
# Both inputs are float32 piano‑roll tensors [batch, seq, 128]
mel = self.pitch_proj(melody_seq) # [B, S, H]
ch = self.pitch_proj(chord_seq)
mel = self.pos_enc(mel)
ch = self.pos_enc(ch)
encoded_chords = self.chord_encoder(ch) # chord context
encoded_mel = self.melody_encoder(mel) # melody self‑context
# Melody attends to chords
attn_out, _ = self.cross_attn(encoded_mel, encoded_chords, encoded_chords)
attended = self.cross_norm(attn_out + encoded_mel)
# Sequence length for the autoregressive mask
seq_len = melody_seq.size(1)
tgt_mask = nn.Transformer.generate_square_subsequent_mask(
seq_len, device=melody_seq.device
)
# Decoder expects batch‑first tensors, no transposes needed
decoded = self.decoder(
tgt=attended,
memory=encoded_chords,
tgt_mask=tgt_mask
)
# Project to 128 pitch logits
return self.output_head(decoded)
In [82]:
# ==================== TRAINING ====================
def train_model(X_train, C_train, y_train, X_val, C_val, y_val):
device = torch.device('cuda' if torch.cuda.is_available() else 'mps')
# Convert to tensors
X_train_t = torch.tensor(X_train, dtype=torch.float32).to(device)
C_train_t = torch.tensor(C_train, dtype=torch.float32).to(device)
y_train_t = torch.tensor(y_train, dtype=torch.float32).to(device)
X_val_t = torch.tensor(X_val, dtype=torch.float32).to(device)
C_val_t = torch.tensor(C_val, dtype=torch.float32).to(device)
y_val_t = torch.tensor(y_val, dtype=torch.float32).to(device)
# Create datasets
train_dataset = TensorDataset(X_train_t, C_train_t, y_train_t)
val_dataset = TensorDataset(X_val_t, C_val_t, y_val_t)
train_loader = DataLoader(train_dataset, batch_size=config['batch_size'], shuffle=True)
val_loader = DataLoader(val_dataset, batch_size=config['batch_size'], shuffle=False)
# Initialize model
model = ImprovedChordConditionedMelodyGenerator(config).to(device)
optimizer = optim.Adam(model.parameters(), lr=config['learning_rate'])
criterion = nn.BCEWithLogitsLoss()
scheduler = ReduceLROnPlateau(optimizer, mode='min', factor=0.5, patience=5)
# Training variables
best_loss = float('inf')
patience_counter = 0
train_losses = []
val_losses = []
print("Starting training...")
for epoch in range(config['num_epochs']):
model.train()
epoch_train_loss = 0
for melody, chords, target in tqdm(train_loader, desc=f"Epoch {epoch+1}"):
optimizer.zero_grad()
outputs = model(melody, chords)
loss = criterion(outputs, target)
loss.backward()
# Gradient clipping
torch.nn.utils.clip_grad_norm_(model.parameters(), config['grad_clip'])
optimizer.step()
epoch_train_loss += loss.item()
# Validation
model.eval()
epoch_val_loss = 0
with torch.no_grad():
for melody, chords, target in val_loader:
outputs = model(melody, chords)
loss = criterion(outputs, target)
epoch_val_loss += loss.item()
# Calculate averages
avg_train_loss = epoch_train_loss / len(train_loader)
avg_val_loss = epoch_val_loss / len(val_loader)
train_losses.append(avg_train_loss)
val_losses.append(avg_val_loss)
# LR scheduling
scheduler.step(avg_val_loss)
# Early stopping
if avg_val_loss < best_loss:
best_loss = avg_val_loss
patience_counter = 0
torch.save(model.state_dict(), 'best_model.pth')
print(f"New best model saved with val loss: {best_loss:.4f}")
else:
patience_counter += 1
if patience_counter >= 10:
print(f"Early stopping at epoch {epoch+1}")
break
print(f"Epoch {epoch+1}/{config['num_epochs']} - Train Loss: {avg_train_loss:.4f} - Val Loss: {avg_val_loss:.4f}")
# Load best model
model.load_state_dict(torch.load('best_model.pth'))
return model, train_losses, val_losses
In [78]:
# ==================== UTILITY FUNCTIONS ====================
def piano_roll_to_midi(piano_roll, fs=25, program=0):
"""Convert piano roll to PrettyMIDI object"""
pm = pretty_midi.PrettyMIDI()
instrument = pretty_midi.Instrument(program=program)
active_notes = {}
for t, frame in enumerate(piano_roll):
current_time = t / fs
for note_num in range(128):
is_active = frame[note_num] > 0.5
if is_active and note_num not in active_notes:
active_notes[note_num] = current_time
elif not is_active and note_num in active_notes:
start_time = active_notes[note_num]
note = pretty_midi.Note(
velocity=80,
pitch=note_num,
start=start_time,
end=current_time
)
instrument.notes.append(note)
del active_notes[note_num]
# Close remaining notes
final_time = len(piano_roll) / fs
for note_num, start_time in active_notes.items():
note = pretty_midi.Note(
velocity=80,
pitch=note_num,
start=start_time,
end=final_time
)
instrument.notes.append(note)
pm.instruments.append(instrument)
return pm
def play_midi_audio(midi_obj, sample_rate=44100):
"""Convert MIDI to audio with multiple fallback methods"""
try:
audio_data = midi_obj.synthesize(fs=sample_rate)
if len(audio_data) > 0:
print("✓ Using pretty_midi built-in synthesizer")
return ipd.Audio(audio_data, rate=sample_rate)
except Exception as e:
print(f"Built-in synthesizer failed: {e}")
try:
with tempfile.NamedTemporaryFile(suffix='.mid', delete=False) as midi_temp:
midi_obj.write(midi_temp.name)
wav_temp = midi_temp.name.replace('.mid', '.wav')
fsynth = FluidSynth()
fsynth.midi_to_audio(midi_temp.name, wav_temp)
audio_data, sr = sf.read(wav_temp)
os.unlink(midi_temp.name)
os.unlink(wav_temp)
return ipd.Audio(audio_data, rate=sr)
except Exception as e:
print(f"FluidSynth conversion failed: {e}")
print("⚠ Could not generate audio, saving MIDI only")
with tempfile.NamedTemporaryFile(suffix='.mid', delete=False) as f:
midi_obj.write(f.name)
print(f"MIDI saved to {f.name}")
return None
def plot_piano_roll(piano_roll, title="Piano Roll", max_time=None):
"""Visualize piano roll"""
if max_time:
piano_roll = piano_roll[:max_time]
plt.figure(figsize=(15, 8))
plt.imshow(piano_roll.T, aspect='auto', origin='lower', cmap='Blues')
plt.colorbar(label='Note On')
plt.xlabel('Time Steps')
plt.ylabel('MIDI Note Number')
plt.title(title)
octave_ticks = [12 * i for i in range(11)]
octave_labels = [f'C{i}' for i in range(11)]
plt.yticks(octave_ticks, octave_labels)
plt.tight_layout()
plt.show()
In [83]:
# ==================== GENERATION ====================
def generate_with_chords(model, seed_melody, seed_chords, length=200, temp=0.7):
device = next(model.parameters()).device
generated = seed_melody.clone()
for _ in tqdm(range(length), desc="Generating"):
with torch.no_grad():
# Get last segment
input_mel = generated[:, -config['sequence_length']:]
input_chords = seed_chords[:, -config['sequence_length']:]
# Predict next step
logits = model(input_mel, input_chords)[0, -1, :].cpu()
probs = torch.sigmoid(logits) # convert to 0‑1 range
pred = probs.numpy()
# Apply temperature
if temp > 0:
pred = np.log(np.maximum(pred, 1e-8)) / temp
pred = np.exp(pred) / np.sum(np.exp(pred))
# Sample notes
next_notes = np.random.binomial(1, pred).astype(float)
next_step = torch.tensor(next_notes, dtype=torch.float32).view(1, 1, -1).to(device)
generated = torch.cat([generated, next_step], dim=1)
return generated[0].cpu().numpy()
In [86]:
# Load data
piano_rolls, midi_objects = load_midi_files(max_files=config['max_files'])
print(f"Loaded {len(piano_rolls)} MIDI files")
# Create enhanced chord representations
chord_rolls = [create_chord_representation(pm, len(pr), config['fs'])
for pm, pr in zip(midi_objects, piano_rolls)]
# Create sequences
sequences = []
chord_seqs = []
targets = []
for pr, cr in zip(piano_rolls, chord_rolls):
if pr.shape[0] < config['sequence_length'] + 1:
continue
for i in range(0, pr.shape[0] - config['sequence_length'], config['sequence_length'] // 2):
sequences.append(pr[i:i + config['sequence_length']])
chord_seqs.append(cr[i:i + config['sequence_length']])
targets.append(pr[i + 1:i + config['sequence_length'] + 1])
X = np.array(sequences)
C = np.array(chord_seqs)
y = np.array(targets)
print(f"Created sequences - X: {X.shape}, C: {C.shape}, y: {y.shape}")
# Split data
X_train, X_val, C_train, C_val, y_train, y_val = train_test_split(
X, C, y, test_size=0.15, random_state=42)
# Train model
model, train_losses, val_losses = train_model(X_train, C_train, y_train, X_val, C_val, y_val)
torch.save(model.state_dict(), 'enhanced_chord_melody_model.pth')
Loading MIDI files: 100%|██████████| 58/58 [00:00<00:00, 198.41it/s]
Loaded 57 MIDI files Created sequences - X: (1990, 128, 128), C: (1990, 128, 128), y: (1990, 128, 128) Starting training...
Epoch 1: 100%|██████████| 53/53 [00:22<00:00, 2.34it/s]
New best model saved with val loss: 0.1247 Epoch 1/100 - Train Loss: 0.2367 - Val Loss: 0.1247
Epoch 2: 100%|██████████| 53/53 [00:14<00:00, 3.57it/s]
New best model saved with val loss: 0.0968 Epoch 2/100 - Train Loss: 0.1074 - Val Loss: 0.0968
Epoch 3: 100%|██████████| 53/53 [00:14<00:00, 3.57it/s]
New best model saved with val loss: 0.0843 Epoch 3/100 - Train Loss: 0.0895 - Val Loss: 0.0843
Epoch 4: 100%|██████████| 53/53 [00:14<00:00, 3.57it/s]
New best model saved with val loss: 0.0686 Epoch 4/100 - Train Loss: 0.0756 - Val Loss: 0.0686
Epoch 5: 100%|██████████| 53/53 [00:14<00:00, 3.55it/s]
New best model saved with val loss: 0.0516 Epoch 5/100 - Train Loss: 0.0598 - Val Loss: 0.0516
Epoch 6: 100%|██████████| 53/53 [00:15<00:00, 3.51it/s]
New best model saved with val loss: 0.0404 Epoch 6/100 - Train Loss: 0.0461 - Val Loss: 0.0404
Epoch 7: 100%|██████████| 53/53 [00:14<00:00, 3.55it/s]
New best model saved with val loss: 0.0334 Epoch 7/100 - Train Loss: 0.0376 - Val Loss: 0.0334
Epoch 8: 100%|██████████| 53/53 [00:14<00:00, 3.56it/s]
New best model saved with val loss: 0.0284 Epoch 8/100 - Train Loss: 0.0318 - Val Loss: 0.0284
Epoch 9: 100%|██████████| 53/53 [00:14<00:00, 3.55it/s]
New best model saved with val loss: 0.0245 Epoch 9/100 - Train Loss: 0.0276 - Val Loss: 0.0245
Epoch 10: 100%|██████████| 53/53 [00:14<00:00, 3.56it/s]
New best model saved with val loss: 0.0214 Epoch 10/100 - Train Loss: 0.0242 - Val Loss: 0.0214
Epoch 11: 100%|██████████| 53/53 [00:15<00:00, 3.52it/s]
New best model saved with val loss: 0.0190 Epoch 11/100 - Train Loss: 0.0214 - Val Loss: 0.0190
Epoch 12: 100%|██████████| 53/53 [00:14<00:00, 3.55it/s]
New best model saved with val loss: 0.0169 Epoch 12/100 - Train Loss: 0.0191 - Val Loss: 0.0169
Epoch 13: 100%|██████████| 53/53 [00:14<00:00, 3.56it/s]
New best model saved with val loss: 0.0152 Epoch 13/100 - Train Loss: 0.0171 - Val Loss: 0.0152
Epoch 14: 100%|██████████| 53/53 [00:15<00:00, 3.45it/s]
New best model saved with val loss: 0.0137 Epoch 14/100 - Train Loss: 0.0155 - Val Loss: 0.0137
Epoch 15: 100%|██████████| 53/53 [00:14<00:00, 3.55it/s]
New best model saved with val loss: 0.0125 Epoch 15/100 - Train Loss: 0.0141 - Val Loss: 0.0125
Epoch 16: 100%|██████████| 53/53 [00:14<00:00, 3.57it/s]
New best model saved with val loss: 0.0112 Epoch 16/100 - Train Loss: 0.0128 - Val Loss: 0.0112
Epoch 17: 100%|██████████| 53/53 [00:14<00:00, 3.58it/s]
New best model saved with val loss: 0.0102 Epoch 17/100 - Train Loss: 0.0117 - Val Loss: 0.0102
Epoch 18: 100%|██████████| 53/53 [00:14<00:00, 3.57it/s]
New best model saved with val loss: 0.0093 Epoch 18/100 - Train Loss: 0.0106 - Val Loss: 0.0093
Epoch 19: 100%|██████████| 53/53 [00:14<00:00, 3.56it/s]
New best model saved with val loss: 0.0086 Epoch 19/100 - Train Loss: 0.0098 - Val Loss: 0.0086
Epoch 20: 100%|██████████| 53/53 [00:14<00:00, 3.56it/s]
New best model saved with val loss: 0.0078 Epoch 20/100 - Train Loss: 0.0091 - Val Loss: 0.0078
Epoch 21: 100%|██████████| 53/53 [00:14<00:00, 3.56it/s]
New best model saved with val loss: 0.0072 Epoch 21/100 - Train Loss: 0.0084 - Val Loss: 0.0072
Epoch 22: 100%|██████████| 53/53 [00:14<00:00, 3.57it/s]
New best model saved with val loss: 0.0067 Epoch 22/100 - Train Loss: 0.0077 - Val Loss: 0.0067
Epoch 23: 100%|██████████| 53/53 [00:14<00:00, 3.56it/s]
New best model saved with val loss: 0.0060 Epoch 23/100 - Train Loss: 0.0071 - Val Loss: 0.0060
Epoch 24: 100%|██████████| 53/53 [00:14<00:00, 3.57it/s]
New best model saved with val loss: 0.0056 Epoch 24/100 - Train Loss: 0.0067 - Val Loss: 0.0056
Epoch 25: 100%|██████████| 53/53 [00:14<00:00, 3.58it/s]
Epoch 25/100 - Train Loss: 0.0062 - Val Loss: 0.0057
Epoch 26: 100%|██████████| 53/53 [00:14<00:00, 3.57it/s]
New best model saved with val loss: 0.0049 Epoch 26/100 - Train Loss: 0.0058 - Val Loss: 0.0049
Epoch 27: 100%|██████████| 53/53 [00:14<00:00, 3.55it/s]
New best model saved with val loss: 0.0046 Epoch 27/100 - Train Loss: 0.0055 - Val Loss: 0.0046
Epoch 28: 100%|██████████| 53/53 [00:14<00:00, 3.57it/s]
New best model saved with val loss: 0.0043 Epoch 28/100 - Train Loss: 0.0052 - Val Loss: 0.0043
Epoch 29: 100%|██████████| 53/53 [00:14<00:00, 3.57it/s]
New best model saved with val loss: 0.0041 Epoch 29/100 - Train Loss: 0.0048 - Val Loss: 0.0041
Epoch 30: 100%|██████████| 53/53 [00:14<00:00, 3.58it/s]
New best model saved with val loss: 0.0037 Epoch 30/100 - Train Loss: 0.0046 - Val Loss: 0.0037
Epoch 31: 100%|██████████| 53/53 [00:14<00:00, 3.57it/s]
New best model saved with val loss: 0.0035 Epoch 31/100 - Train Loss: 0.0043 - Val Loss: 0.0035
Epoch 32: 100%|██████████| 53/53 [00:14<00:00, 3.57it/s]
New best model saved with val loss: 0.0033 Epoch 32/100 - Train Loss: 0.0041 - Val Loss: 0.0033
Epoch 33: 100%|██████████| 53/53 [00:14<00:00, 3.57it/s]
New best model saved with val loss: 0.0031 Epoch 33/100 - Train Loss: 0.0039 - Val Loss: 0.0031
Epoch 34: 100%|██████████| 53/53 [00:14<00:00, 3.57it/s]
New best model saved with val loss: 0.0030 Epoch 34/100 - Train Loss: 0.0036 - Val Loss: 0.0030
Epoch 35: 100%|██████████| 53/53 [00:14<00:00, 3.57it/s]
New best model saved with val loss: 0.0029 Epoch 35/100 - Train Loss: 0.0035 - Val Loss: 0.0029
Epoch 36: 100%|██████████| 53/53 [00:14<00:00, 3.57it/s]
New best model saved with val loss: 0.0027 Epoch 36/100 - Train Loss: 0.0033 - Val Loss: 0.0027
Epoch 37: 100%|██████████| 53/53 [00:14<00:00, 3.58it/s]
New best model saved with val loss: 0.0027 Epoch 37/100 - Train Loss: 0.0031 - Val Loss: 0.0027
Epoch 38: 100%|██████████| 53/53 [00:14<00:00, 3.57it/s]
New best model saved with val loss: 0.0025 Epoch 38/100 - Train Loss: 0.0030 - Val Loss: 0.0025
Epoch 39: 100%|██████████| 53/53 [00:14<00:00, 3.57it/s]
New best model saved with val loss: 0.0024 Epoch 39/100 - Train Loss: 0.0028 - Val Loss: 0.0024
Epoch 40: 100%|██████████| 53/53 [00:14<00:00, 3.55it/s]
New best model saved with val loss: 0.0023 Epoch 40/100 - Train Loss: 0.0028 - Val Loss: 0.0023
Epoch 41: 100%|██████████| 53/53 [00:14<00:00, 3.57it/s]
New best model saved with val loss: 0.0021 Epoch 41/100 - Train Loss: 0.0026 - Val Loss: 0.0021
Epoch 42: 100%|██████████| 53/53 [00:14<00:00, 3.58it/s]
New best model saved with val loss: 0.0021 Epoch 42/100 - Train Loss: 0.0025 - Val Loss: 0.0021
Epoch 43: 100%|██████████| 53/53 [00:14<00:00, 3.55it/s]
New best model saved with val loss: 0.0020 Epoch 43/100 - Train Loss: 0.0024 - Val Loss: 0.0020
Epoch 44: 100%|██████████| 53/53 [00:14<00:00, 3.56it/s]
New best model saved with val loss: 0.0019 Epoch 44/100 - Train Loss: 0.0023 - Val Loss: 0.0019
Epoch 45: 100%|██████████| 53/53 [00:14<00:00, 3.56it/s]
New best model saved with val loss: 0.0018 Epoch 45/100 - Train Loss: 0.0022 - Val Loss: 0.0018
Epoch 46: 100%|██████████| 53/53 [00:14<00:00, 3.57it/s]
New best model saved with val loss: 0.0017 Epoch 46/100 - Train Loss: 0.0021 - Val Loss: 0.0017
Epoch 47: 100%|██████████| 53/53 [00:14<00:00, 3.57it/s]
New best model saved with val loss: 0.0017 Epoch 47/100 - Train Loss: 0.0020 - Val Loss: 0.0017
Epoch 48: 100%|██████████| 53/53 [00:14<00:00, 3.57it/s]
New best model saved with val loss: 0.0016 Epoch 48/100 - Train Loss: 0.0019 - Val Loss: 0.0016
Epoch 49: 100%|██████████| 53/53 [00:14<00:00, 3.55it/s]
New best model saved with val loss: 0.0016 Epoch 49/100 - Train Loss: 0.0019 - Val Loss: 0.0016
Epoch 50: 100%|██████████| 53/53 [00:14<00:00, 3.55it/s]
New best model saved with val loss: 0.0015 Epoch 50/100 - Train Loss: 0.0018 - Val Loss: 0.0015
Epoch 51: 100%|██████████| 53/53 [00:14<00:00, 3.54it/s]
New best model saved with val loss: 0.0014 Epoch 51/100 - Train Loss: 0.0017 - Val Loss: 0.0014
Epoch 52: 100%|██████████| 53/53 [00:14<00:00, 3.54it/s]
New best model saved with val loss: 0.0014 Epoch 52/100 - Train Loss: 0.0016 - Val Loss: 0.0014
Epoch 53: 100%|██████████| 53/53 [00:14<00:00, 3.55it/s]
New best model saved with val loss: 0.0014 Epoch 53/100 - Train Loss: 0.0016 - Val Loss: 0.0014
Epoch 54: 100%|██████████| 53/53 [00:14<00:00, 3.54it/s]
New best model saved with val loss: 0.0013 Epoch 54/100 - Train Loss: 0.0016 - Val Loss: 0.0013
Epoch 55: 100%|██████████| 53/53 [00:14<00:00, 3.54it/s]
New best model saved with val loss: 0.0012 Epoch 55/100 - Train Loss: 0.0015 - Val Loss: 0.0012
Epoch 56: 100%|██████████| 53/53 [00:14<00:00, 3.54it/s]
Epoch 56/100 - Train Loss: 0.0014 - Val Loss: 0.0013
Epoch 57: 100%|██████████| 53/53 [00:15<00:00, 3.46it/s]
New best model saved with val loss: 0.0012 Epoch 57/100 - Train Loss: 0.0014 - Val Loss: 0.0012
Epoch 58: 100%|██████████| 53/53 [00:14<00:00, 3.57it/s]
New best model saved with val loss: 0.0011 Epoch 58/100 - Train Loss: 0.0013 - Val Loss: 0.0011
Epoch 59: 100%|██████████| 53/53 [00:15<00:00, 3.49it/s]
New best model saved with val loss: 0.0011 Epoch 59/100 - Train Loss: 0.0013 - Val Loss: 0.0011
Epoch 60: 100%|██████████| 53/53 [00:14<00:00, 3.54it/s]
Epoch 60/100 - Train Loss: 0.0012 - Val Loss: 0.0012
Epoch 61: 100%|██████████| 53/53 [00:15<00:00, 3.51it/s]
New best model saved with val loss: 0.0010 Epoch 61/100 - Train Loss: 0.0012 - Val Loss: 0.0010
Epoch 62: 100%|██████████| 53/53 [00:14<00:00, 3.56it/s]
Epoch 62/100 - Train Loss: 0.0012 - Val Loss: 0.0010
Epoch 63: 100%|██████████| 53/53 [00:14<00:00, 3.55it/s]
New best model saved with val loss: 0.0010 Epoch 63/100 - Train Loss: 0.0011 - Val Loss: 0.0010
Epoch 64: 100%|██████████| 53/53 [00:15<00:00, 3.50it/s]
New best model saved with val loss: 0.0009 Epoch 64/100 - Train Loss: 0.0011 - Val Loss: 0.0009
Epoch 65: 100%|██████████| 53/53 [00:14<00:00, 3.53it/s]
Epoch 65/100 - Train Loss: 0.0011 - Val Loss: 0.0010
Epoch 66: 100%|██████████| 53/53 [00:15<00:00, 3.53it/s]
New best model saved with val loss: 0.0009 Epoch 66/100 - Train Loss: 0.0010 - Val Loss: 0.0009
Epoch 67: 100%|██████████| 53/53 [00:15<00:00, 3.50it/s]
New best model saved with val loss: 0.0009 Epoch 67/100 - Train Loss: 0.0010 - Val Loss: 0.0009
Epoch 68: 100%|██████████| 53/53 [00:15<00:00, 3.49it/s]
New best model saved with val loss: 0.0008 Epoch 68/100 - Train Loss: 0.0009 - Val Loss: 0.0008
Epoch 69: 100%|██████████| 53/53 [00:15<00:00, 3.53it/s]
New best model saved with val loss: 0.0008 Epoch 69/100 - Train Loss: 0.0010 - Val Loss: 0.0008
Epoch 70: 100%|██████████| 53/53 [00:15<00:00, 3.51it/s]
Epoch 70/100 - Train Loss: 0.0009 - Val Loss: 0.0008
Epoch 71: 100%|██████████| 53/53 [00:14<00:00, 3.54it/s]
New best model saved with val loss: 0.0008 Epoch 71/100 - Train Loss: 0.0009 - Val Loss: 0.0008
Epoch 72: 100%|██████████| 53/53 [00:15<00:00, 3.52it/s]
Epoch 72/100 - Train Loss: 0.0008 - Val Loss: 0.0008
Epoch 73: 100%|██████████| 53/53 [00:15<00:00, 3.52it/s]
New best model saved with val loss: 0.0008 Epoch 73/100 - Train Loss: 0.0008 - Val Loss: 0.0008
Epoch 74: 100%|██████████| 53/53 [00:15<00:00, 3.52it/s]
New best model saved with val loss: 0.0007 Epoch 74/100 - Train Loss: 0.0008 - Val Loss: 0.0007
Epoch 75: 100%|██████████| 53/53 [00:15<00:00, 3.52it/s]
New best model saved with val loss: 0.0007 Epoch 75/100 - Train Loss: 0.0008 - Val Loss: 0.0007
Epoch 76: 100%|██████████| 53/53 [00:15<00:00, 3.53it/s]
New best model saved with val loss: 0.0007 Epoch 76/100 - Train Loss: 0.0008 - Val Loss: 0.0007
Epoch 77: 100%|██████████| 53/53 [00:15<00:00, 3.53it/s]
New best model saved with val loss: 0.0007 Epoch 77/100 - Train Loss: 0.0008 - Val Loss: 0.0007
Epoch 78: 100%|██████████| 53/53 [00:14<00:00, 3.54it/s]
New best model saved with val loss: 0.0007 Epoch 78/100 - Train Loss: 0.0007 - Val Loss: 0.0007
Epoch 79: 100%|██████████| 53/53 [00:15<00:00, 3.52it/s]
New best model saved with val loss: 0.0007 Epoch 79/100 - Train Loss: 0.0007 - Val Loss: 0.0007
Epoch 80: 100%|██████████| 53/53 [00:15<00:00, 3.52it/s]
New best model saved with val loss: 0.0006 Epoch 80/100 - Train Loss: 0.0007 - Val Loss: 0.0006
Epoch 81: 100%|██████████| 53/53 [00:15<00:00, 3.49it/s]
New best model saved with val loss: 0.0006 Epoch 81/100 - Train Loss: 0.0007 - Val Loss: 0.0006
Epoch 82: 100%|██████████| 53/53 [00:15<00:00, 3.49it/s]
Epoch 82/100 - Train Loss: 0.0007 - Val Loss: 0.0006
Epoch 83: 100%|██████████| 53/53 [00:15<00:00, 3.47it/s]
New best model saved with val loss: 0.0006 Epoch 83/100 - Train Loss: 0.0007 - Val Loss: 0.0006
Epoch 84: 100%|██████████| 53/53 [00:15<00:00, 3.45it/s]
New best model saved with val loss: 0.0006 Epoch 84/100 - Train Loss: 0.0006 - Val Loss: 0.0006
Epoch 85: 100%|██████████| 53/53 [00:15<00:00, 3.49it/s]
New best model saved with val loss: 0.0006 Epoch 85/100 - Train Loss: 0.0006 - Val Loss: 0.0006
Epoch 86: 100%|██████████| 53/53 [00:15<00:00, 3.52it/s]
New best model saved with val loss: 0.0006 Epoch 86/100 - Train Loss: 0.0006 - Val Loss: 0.0006
Epoch 87: 100%|██████████| 53/53 [00:15<00:00, 3.51it/s]
New best model saved with val loss: 0.0006 Epoch 87/100 - Train Loss: 0.0006 - Val Loss: 0.0006
Epoch 88: 100%|██████████| 53/53 [00:15<00:00, 3.47it/s]
New best model saved with val loss: 0.0006 Epoch 88/100 - Train Loss: 0.0006 - Val Loss: 0.0006
Epoch 89: 100%|██████████| 53/53 [00:15<00:00, 3.44it/s]
New best model saved with val loss: 0.0005 Epoch 89/100 - Train Loss: 0.0006 - Val Loss: 0.0005
Epoch 90: 100%|██████████| 53/53 [00:15<00:00, 3.50it/s]
New best model saved with val loss: 0.0005 Epoch 90/100 - Train Loss: 0.0005 - Val Loss: 0.0005
Epoch 91: 100%|██████████| 53/53 [00:15<00:00, 3.50it/s]
New best model saved with val loss: 0.0005 Epoch 91/100 - Train Loss: 0.0005 - Val Loss: 0.0005
Epoch 92: 100%|██████████| 53/53 [00:15<00:00, 3.51it/s]
New best model saved with val loss: 0.0005 Epoch 92/100 - Train Loss: 0.0006 - Val Loss: 0.0005
Epoch 93: 100%|██████████| 53/53 [00:15<00:00, 3.50it/s]
New best model saved with val loss: 0.0005 Epoch 93/100 - Train Loss: 0.0005 - Val Loss: 0.0005
Epoch 94: 100%|██████████| 53/53 [00:15<00:00, 3.52it/s]
New best model saved with val loss: 0.0005 Epoch 94/100 - Train Loss: 0.0005 - Val Loss: 0.0005
Epoch 95: 100%|██████████| 53/53 [00:15<00:00, 3.49it/s]
New best model saved with val loss: 0.0005 Epoch 95/100 - Train Loss: 0.0005 - Val Loss: 0.0005
Epoch 96: 100%|██████████| 53/53 [00:15<00:00, 3.52it/s]
New best model saved with val loss: 0.0005 Epoch 96/100 - Train Loss: 0.0005 - Val Loss: 0.0005
Epoch 97: 100%|██████████| 53/53 [00:15<00:00, 3.52it/s]
Epoch 97/100 - Train Loss: 0.0005 - Val Loss: 0.0005
Epoch 98: 100%|██████████| 53/53 [00:15<00:00, 3.53it/s]
New best model saved with val loss: 0.0005 Epoch 98/100 - Train Loss: 0.0005 - Val Loss: 0.0005
Epoch 99: 100%|██████████| 53/53 [00:15<00:00, 3.41it/s]
Epoch 99/100 - Train Loss: 0.0004 - Val Loss: 0.0005
Epoch 100: 100%|██████████| 53/53 [00:15<00:00, 3.42it/s]
New best model saved with val loss: 0.0005 Epoch 100/100 - Train Loss: 0.0004 - Val Loss: 0.0005
In [87]:
# Plot training
plt.figure(figsize=(12, 5))
plt.plot(train_losses, label='Training Loss')
plt.plot(val_losses, label='Validation Loss')
plt.xlabel('Epoch')
plt.ylabel('BCE Loss')
plt.title('Training History')
plt.legend()
plt.show()
In [88]:
# Generate sample
device = torch.device('cuda' if torch.cuda.is_available() else 'mps')
model.to(device)
model.eval()
seed_idx = np.random.randint(0, len(X_val))
seed_melody = torch.tensor(X_val[seed_idx:seed_idx+1], dtype=torch.float32).to(device)
seed_chords = torch.tensor(C_val[seed_idx:seed_idx+1], dtype=torch.float32).to(device)
generated_seq = generate_with_chords(model, seed_melody, seed_chords, length=300, temp=0.7)
generated_seq = (generated_seq > 0.5).astype(float)
# Convert to MIDI and save
generated_midi = piano_roll_to_midi(generated_seq, config['fs'])
generated_midi.write('generated_chord_melody.mid')
# Visualize
print("\nGenerated Piano Roll:")
plot_piano_roll(generated_seq, max_time=300)
# Play audio
print("\nAttempting to play generated music...")
audio = play_midi_audio(generated_midi)
if audio:
display(audio)
print("\nGeneration complete!")
Generating: 100%|██████████| 300/300 [00:03<00:00, 87.69it/s]
Generated Piano Roll:
Attempting to play generated music... ✓ Using pretty_midi built-in synthesizer
Generation complete!